|2. Course Requirements|
|3. Doctoral Exam Requirements|
|4. Appeal of Requirements: (Exams and Courses)|
|5. Things to Discuss with your Academic Advisor|
|6. Getting a Thesis Advisor|
|7. Things to Discuss with your Thesis Advisor|
|8. Preparing for a Job in Industry|
|9. Looking for a Job in Industry|
|10. Preparing for a Job in Academia|
|11. Looking for a Job in Academia|
|12. Good Scholarly Habits - Graduate and Undergraduate Differences|
|14. Things to do over the Summer|
|15. Writing your Thesis and LATEX help|
|16. Money Saving Hints|
|17. The Paper Trail|
|19. Important People and Numbers|
|20. TA Topics|
|21. International Student Issues|
|22. Assorted Topics|
This "Graduate Student Survival Guide" could have been titled, "Something the (many) Authors Wish They Had When They First Started Grad School at Rensselaer". Though descriptive, that title was just too long. Nonetheless, in an uncommon act of benevolence, a group of interested graduate students formed the idea, mustered the energy, and found the time to bring together in writing sound advice based on many years' experience.
Alluded to in the descriptive title is the purpose of this Guide. Succinctly put, it is to pass along advice to incoming graduate students so that they might optimize their time in pursuit of a graduate degree from the Department of Mathematical Sciences at Rensselaer. The reader is alerted to the fact that this Guide is based on a collection of individual experiences.
Therefore, it is left to the reader to decide whether or not the advice is worth implementing. (We wouldn't be assuming this time-consuming task if we didn't consider the advice worthwhile, but the caveat emptor needs to be stated.)
So, let us begin by extending our congratulations to you for being accepted into the graduate program. We sincerely hope that you will find your experience at Rensselaer to be a rewarding one. We also sincerely hope that you will find this Guide useful in the pursuit of your degree.
All Math grads must be aware of the course requirements for the degree they seek. This information can be found at http://www.math.rpi.edu/www/Grad/grad.index.html. You should read this and be very familiar with it. It is your responsibility to make sure you meet these requirements. Failure to do so will delay your graduation! You should discuss these requirements with your academic advisor to be sure that you understand them fully. Here are some additional notes for you on a few of the requirements:
2.1 Doctoral Students
2. If you plan on transferring in credits or using work you have done elsewhere (see part D of your requirements) to cover any of the other requirements, you must contact the Graduate Committee for approval in writing, and you should discuss it with your academic advisor.
3. The 30 credit maximum for research is a fixed upperbound, but if you are finding the official course offerings to be limiting, consider taking readings courses.
4. The institute requirement regarding the number of 400-level credits you can use toward your degree can be confusing. Perhaps the easiest way to determine the number of 400-level credits is from this simple rule: min(21 credits, 1/3 of total course credits).
Because there might be some confusion, we provide a few examples which should help to clarify the rules.
5. If the department is paying for your credits, it will not pay for more than the 90 credits required. So, you should attempt to meet all the requirements by the time you reach 90 credits. Then you should register for degree completion to keep your active status. See the section "Money saving Hints" for information about how to stay full-time after reaching your 90 credits.
6. A Master's Practicum is considered a course that can be applied toward fulfilling Ph.D. course requirements.
2. The second thing to note is the Master's Practicum. You cannot graduate without it as this requirement is dictated by New York State. There are many ways to fulfill this requirement. Perhaps the simplest way would be by attending the Workshop on Mathematical Problems in Industry (MPI). This event is held every year in May or June on the Rensselaer campus. (See Preparing for a Job in Industry for more information on this workshop). Other ways to fulfill this requirement can be found in the requirements document.
See http://www.math.rpi.edu/www/Grad/grad.index.html. Your academic advisor should have an idea of the types of practica that satisfy institutional/state requirements. But, as this is a new requirement, students should expect that the master's practicum is going to evolve over time, so students and faculty will have to adapt to the changes as they occur. So, the best bet is to discuss your Practicum with your academic advisor, and send a memo to the Graduate Committee for its approval in writing just to be safe. Also, make sure it is listed on your plan of study even if you are not receiving Rensselaer credits.
All graduate students in the Ph.D. program have a set of exams they are required to pass. Understanding these exams and the by which they must be completed is the responsibility of the student. Masters' students who switch into the Ph.D. program will also have to complete these exams, but the timing is a bit different. The full explanation of both cases can be found at http://www.math.rpi.edu/www/Grad/phd.html#pe.
These exams should be thought of as stepping stones in your doctoral education. Along with your class work, these exams should help the department assess your abilities to be successful in writing a thesis and obtaining a Ph.D. But most importantly, they give the student a way to check his/her progress. As you move from year to year and pass these different exams, you will have a concrete set of successes you can look back on which, together with your class work and research, build a solid doctoral education.
3.1 Preparation for the Exams
Note: You should be familiar with the Doctoral exam document before you
read this section.
3.1.1 Preliminary Exam
The purpose of the examination is to assess the qualifications of students in critical areas of undergraduate mathematics. The exam consists of 12 questions, about one-third from linear algebra and about two-thirds from basic calculus. Students will have to choose 10 questions to be graded. The duration of the test will be four hours. The level of difficulty of questions is very close to the level of the standard GRE mathematics test. The linear algebra and calculus questions from GRE preparation books can serve as good practice questions for the test. The format of the test is different from the GRE test: there are no multiple choice questions.
2. Mathematics GRE study guides can be purchased at places such as http://www.ets.org.
3. Check the Prelim home page for when the exam is scheduled. If you plan on taking it, then sign-up with Dawnmarie. You have the option to not take it even if you sign up. However, you should let Dawnmarie know if you change your mind.
4. Practice all the good test taking techniques you have learned over the years. Get a good night's sleep, eat well before the exam, review the material for several weeks prior to the exam, find a study partner, obtain the notes from someone who successfully passed the exam, etc....
5.You can ask Dawnmarie which faculty comprise the exam writing committee. Feel free to contact them for helpful studying suggestions. (See the phone/office list in the appendix.)
3.1.2 Qualifying Exam
As you take graduate classes, you should keep in mind that you will have to pass a Qualifying Exam covering three classes of your choosing. Your selection might be based upon your aptitude for the subject matter, your relationship with the professors of the classes, and the course's relationship with your tentative research topic. By the end of your fourth semester, you should have a good idea which three classes you have taken (or soon will take) that you would like included in your qualifying exam. Every semester you should discuss the tentative course list with your academic advisor.
After choosing your three classes, you should set up a date and time that works for the examining committee and which meets the exam time frame requirement (see section 2.G of the exam requirements document). Please note: you will want to confirm that the professors you took the courses from will be on your examining committee. See part 2.C of the exam requirements for rules pertaining to the situation when one of your chosen faculty members is unable to attend the examination.
In any case, once you know the subjects and the examiners, you will want to begin stage two of your preparation for this exam. (Stage one being taking the course in the first place.) The obvious stage two prep will be reviewing your class notes, as well as finding more references on the subjects, acquiring books you didn't use in class, etc., to ensure that you have a very good understanding of the material. Then talk to the people who will be on your examination committee, ask them for the things they think are the most important. Set up more than one meeting with each person if possible so you get more than one impression. Ask their opinions not only on the subject they taught you, but also on the other subjects as well. Don't forget, they will all be in the room with you and it is in your best interest to know as much as possible about what will be asked before you walk in. Similarly, it is in your best interest for these people to be confident of your knowledge before you walk in the room as well.
Please Note: It is NOT necessary to have found a thesis advisor before this exam, but you should be well acquainted with your academic advisor by this time.
3.1.3 Candidacy Exam
After you have found a thesis advisor and have begun probing a research topic, together you will form a thesis committee (the Institute requires at least four full-time tenure-track Rensselaer faculty members, and at least one scientist or professor from outside the Math Sciences Department). Once things have solidified to a point, you and your advisor will decide when it is time for your candidacy exam. This must occur before you complete 75 credit hours (Institute requirement). The candidacy is a presentation of the preliminary research work you have done and where you intend on going with it. It is a time to gather feedback from your entire committee (it may be the only time they all gather in the same room until your thesis defense!). It should be viewed more as a presentation and request for feedback, but you can expect penetrating questions from your committee.
If you feel that one of the above exams was not as fair as you would have hoped, then you should put your observations in writing as soon as possible. Discuss these observations with your advisor. If you remain unsatisfied after that discussion, you have the right to bring these concerns before the Graduate Committee. A formal appeal in writing should be submitted to the Graduate Committee as soon as possible. This process is in place to provide checks and balances to the system. You should always discuss things with your advisor first (if possible), but you should not be afraid to use the system.
Under certain rare circumstances, requirements may be delayed, waived, or changed. All appeals should be made in writing to the Graduate Committee. Prior discussion with your academic advisor is assumed. Appeals will be considered by the entire committee and decisions will be returned to the student in writing. Keep in mind these requirements were set up not to hinder you from gaining a good education, but to ensure that you obtain a quality degree in a timely fashion.
Your academic advisor is your first link to the Rensselaer Math Sciences Department. Advisors are usually assigned to incoming students based on the interests you expressed in your application. Your advisor has a wealth of knowledge that you need to tap into EARLY! Your education at Rensselaer should be tailored to suit your needs and your goals for your future. To do this your advisor must be aware of these needs and goals. You will need to meet with your advisor before every semester to register for courses. Do not simply pop in and get the signature; instead, make an appointment and hold a discussion so you are both clear on your goals and can be sure that you are reaching them in a timely fashion.
Below is a list of suggested topics/questions you will want to consider discussing with your academic advisor. Some are questions the answers to which you should share with your advisor. Some are questions you may want to ask your advisor. If you are a new student, you will want to be sure to get through this list and any other ideas of your own. (Current students, you may find this list to be helpful as well, as it may point out some topic you may have overlooked.)
Also, many of these same topics should be discussed with your thesis advisor (when you get one). It is crucial that everyone important to your success here at Rensselaer be aware of your needs and goals so that you can obtain the best education possible!
Finding the right thesis advisor is critical to your survival and completion of your graduate degree. When you first arrive at Rensselaer, some of you may know exactly the area in which you would like to do research. However, many new graduate students do not. Therefore, it is essential for all graduate students to get to know the faculty.
Great! Now you have your thesis advisor. Keep communications open. This will help to make the experience a positive one.
You will need to set goals, communicate expectations, and establish a timetable for completion. This will alleviate any hard feelings or misunderstandings later on. Be sure to be clear about your expectations and goals. It is important that you and your advisor are in agreement about the progression of your education and its completion. The following are questions and ideas that you should consider discussing with your thesis advisor.
Do you want to publish while you are here at Rensselaer? (see Preparing for a Job in Academia and Preparing for a Job in Industry)
Not all mathematics fits with all industrial jobs. People in industry often think there is no practical value to higher mathematics. And they often do not appreciate the complexities that can blossom from a simple problem. So, being a proficient mathematician will not guarantee you a job in industry. So what can you do while at Rensselaer to make your life easier when you are ready to leave?
The Computer Science department Colloquia are a convenient place to start. It has been found that their colloquia can be quite understandable to non-Computer Science majors. Be adventurous!!
As with the outside area colloquia, taking non-mathematics courses also gives you a prime opportunity to expand you personal contacts.
Industry jobs are very appealing to some people. The pace is often quick, there is immediate feedback on your work from fellow employees as well as customers, and the pay is generally good. Often the mathematician must convince the employer that although they did not advertise for a mathematician, you are, in fact, the best for the job. Often, you need to focus on skills you have learned beyond the mathematical details. We are proficient in breaking down problems into manageable bits. We have been trained to spot variables that have little impact on the final result, we are comfortable attacking a problem, discovering it is infeasible and backtracking to a point where we can attempt to progress again, etc. Remember, job advertisements are often written by people in personnel and they are NOT educated in our field. Often we need to educate them in why we should be hired (and paid well!)
A few industry benefits: (All of these are in general and may not apply in all job situations) Variety of responsibilities, well defined goals, fast pace, decent salary, chance for lateral as well as vertical growth, exposure to other disciplines, exposure to other ways of thinking, your mathematics used by others (co-workers as well as customers), mathematicians tend to be few in number so they are often called upon to educate co-workers and are often a prized commodity because they are comfortable with a subject so many people are frightened of!
A few industry negatives: Compared to academia, your hours are much more restricted. Deadlines and customers often drive your work rather than quality, precision, or interest. More time is often spent programming or in meetings or dealing with customers than actually doing mathematics. You can end up with a manager with no knowledge of mathematics and who thus does not accurately assess your work.
Networking through people in the department (professors and their friends and former students, other graduates, their friends, current graduates and their friends and so forth) can help you find out about job openings and get interviews. This process makes a lot of people uncomfortable, but it is becoming more and more of a common place thing. To avoid it means you are missing out on potentially great jobs.
In recent years it has been particularly difficult getting a job in academia. In 1997 the job market seems to have gotten slightly better. Let's hope the job market keeps improving. Regardless, if you want to get a job in academia, then you should start preparing for this early in your career at Rensselaer. The following are a few suggestions on how to prepare for academia. Of course there are different types of jobs in academia. Some with more research (large universities) and some with more teaching (smaller colleges), so stress the following depending on your future goals.
Academic jobs have many positive attributes. Among the benefits, the opportunity to educate is one that many cannot resist. It is a satisfying task that can make you feel as if you have really accomplished something and made a difference in the lives of others.
There are many benefits to choosing a job in academia. By choosing your place of employment (small college vs. university), you elect how much of your job is research, how much is teaching, and how much is service. (Service includes advising students, committee work, etc. and varies depending on the department.) In general, the research area is yours to choose. The hours you are expected to work are generally more flexible than in industry and you will (probably) have your summers off. Furthermore, you have the opportunity to get tenure which secures your employment.
There are also some drawbacks to jobs in academia. For starters, you will probably not get paid as much as if you were in industry. But your salary may be a nine month salary, and you can subsidize your summer pay by getting a grant or contracting work to industry. Keep in mind that teaching, committee work, advising, "money hunting", and research tend to pull people in many directions - you'll have to like this kind of existence. If you have difficulty thinking up topics for research, then you may want to consider seeking employment at a small college rather than at a research institution. Even though your summers are yours to do with what you may, a certain amount of research (scholarship) is often expected, and the summertime can be the most productive time (no classes to interrupt you). If you don't achieve the high standards to obtain tenure (publish or perish), then you will have to leave that school and go elsewhere.
The following are some guidelines and references to aid in your job search process.
You may want to make an electronic version for your home page. The electronic version should look exactly like the hard copy of your vita, except that it will have links to your publications, the schools you went to, the conference home pages, etc. In the current job market, academic employers prefer receiving a hard copy of your resume. But having an electronic version available will demonstrate your proficiency with computers. Also, if the employer is inspired, she/he can easily learn more about the items you have linked to your resume.
There are many more sites that list employment opportunities. Ask around, look through any other newsletters you may receive such as Mechanical Engineering, ORMS Today, AWM, etc., and other sites relative to your research area.
It is expected that each graduate student is an active learner, is interested in the subject matter, can learn independently, and can complete the assignment at hand in the specified amount of time. In comparison to undergraduate courses, graduate courses usually cover more material in a shorter time and in greater depth. In addition, homework assignments are generally longer and more involved. Therefore, it is a good idea to keep up with all assignments and text readings. As an undergraduate one may have been successful even though assignments were completed at the last minute. In graduate school this is almost impossible. As such, the following is a list of helpful hints to aid in one's academic success.
Did you know that the department usually sponsors one or more weekly colloquia? Did you know that there are "brown bag" seminars held most Fridays? Did you know that the graduate students have a bi-weekly colloquia?
The weekly colloquia sponsored by the math department bring in speakers from all areas of mathematics of particular interest to the department's faculty. Therefore, the talks are typically directed at the faculty, and they tend to be complex, and most graduate students find that they are able to follow the speaker for part of the talk (trust that you will never follow 100% of the talks). As the invited speakers are colleagues with our faculty members, the colloquia help to identify the interests of our faculty as well as current research issues in those fields of interest. Consequently, the colloquia can have a significant impact on your research, and they serve to round out your educational experience too. Furthermore, as you attend more of the talks, you will find that you can follow more and more of them, and you will recognize the speakers' use of techniques that you have applied in class or might employ in future teaching experiences. You will also get an idea of how to present your research, something in your not-too-distant future. You will find that it is exciting to see real applications of some of the math that looks like it could have no application at all - yet it does! The colloquia provide exposure to new technical words, and they provide a sense of excitement and relevance to the math you might be learning in class. The department often requests that the speaker give a talk directed at the graduate students - or two talks may be given where the first is for students and the second an extension of the first.
Here is some advice for attending the colloquia. To begin with, a colloquium is not a class, so do not expect to understand all of the details of the talk. Your goals as an audience member should be to (1) know what the problem the speaker wishes to solve, (2) know what methods/techniques are employed, and (3) know what conclusions are reached.
Graduate students should be aware that the overall attendance at the colloquia reflects upon the reputation of the Department of Mathematical Sciences to the invited speaker. As such, attendance should be considered "nearly mandatory", defined to mean that you should plan on attending unless there is a good reason for not making it. (Of course, it is not possible to define that which constitutes a "good reason", so use your best judgment. Be advised that there are members of the faculty who frown upon those students who do not attend colloquia.) And a commandment: thou shall always attend the DiPrima Lecture.
Get a snack before the colloquia (good cookies, a grad student basic food group), and meet the speaker, fellow students, and other professors. Believe it or not, mathematicians can be very interesting people. Stop by and get to know them and their work.
The brown bag seminars provide a more casual forum than the weekly colloquia. These seminars are held at noon, generally on Fridays. Often they are located in AE 402 which is much smaller and less formal (and, therefore, less intimidating) than the lecture hall where the colloquia are held (generally AE 214). A smaller number of people will probably attend a brown bag seminar than the colloquia, and the speakers are typically from Rensselaer's faculty. The research presented here may be less polished than that of the colloquia, and often feedback is given to the speakers on the topic presented, where the feedback takes the form of suggestions of what to do next, or what to look at, etc. If you find yourself too shy or simply too intimidated to ask questions at a colloquium, perhaps attending a brown bag seminar would boost your confidence and provide the right atmosphere for interaction with the speaker.
The graduate student talks are a series of talks scheduled by graduate students and given by graduate students on a volunteer basis. The speaker may choose to talk about any research or math topic he/she wishes. Previous speakers have given talks as a practice before doing the same presentation at a conference, some have presented talks that they plan to give at their candidacy exam, other have found interesting papers and presented them to the group (said papers having nothing to do with their research). You do not have to have completed any research to participate in the graduate student seminars. This is your opportunity to present mathematics to your peers without any interference from the faculty.
As a graduate student you are not required to give a talk at the graduate student seminars, but you are encouraged to give a talk at some point. Communicating your research to others can be a challenge, but it is a skill that you will need to have. These seminars will be good practice for the future. Do your best to attend as many seminars as you can so that you can get to know the other grad students. Also you will learn what other students are doing for their research, something that can help in your selection of a research topic and advisor.
Contact Phaedra Agius for scheduling your talk. Her email address is firstname.lastname@example.org. Information on Graduate Student and Department Colloquia can be found at the Department's web page.
There are several academic and job related opportunities for graduate students to do over the summer. Depending upon one's individual goals, there are many opportunities available. In addition, the campus is quiet and provides a nice place to really get some work done!
-Preparing for Fall preliminary exams. See section 3.1.1.
-Research assistant at Rensselaer or another university. Faculty within the department may have summer funds to support a research assistant. Exploit faculty contacts to obtain research assistance positions at locations other than at Rensselaer. Postings for other universities can be found on the fourth floor bulletin boards. Summer research work need not be related to intended thesis work.
-Annual Workshop on Mathematical Problems in Industry. This workshop is held annually in the month of May or June at Rensselaer and is free to graduate students. This workshop can also satisfy a degree requirement.
-Summer job. The Career Development Center located in the DCC has numerous information about job opportunities, and there are several on-site interviews for people interested in summer employment. Their WWW address is: www.rpi.edu/dept/cdc/. Those interested in a summer job should begin looking no later than the month of February. Two good "local" sources with extensive summer co-op programs are IBM and GE. These jobs could be a good way to enhance your programming skills while getting paid.
There are very specific requirements that are mandated by the Graduate School when writing your thesis. Most students choose to write their thesis using LaTeX. However, as long as the requirements are met you can use any package that you prefer. For information on requirements for creating the document see:
For the LaTeX files necessary to produce the thesis, see:
Full-time certification has tax implications. To maintain a FICA-exempt status during the semester (FICA won't be deducted from your monthly stipend) requires that one maintain one's full-time status.
Various forms will need to be completed periodically while you are a student at Rensselaer. These include the plan of study, full-time certification, degree application, registering for classes, registering for research credits, and other random forms that seem to appear in your mailbox.
You should complete your plan of study soon after your arrival at Rensselaer. This form will contain a listing of all the coursework and research credits you anticipate completing towards your degree. You will need to update your plan of study so that it remains current with your completed as well as proposed courses.
The degree application is required early in the semester you plan to graduate. For those planning to graduate in the summer, this form is due at the beginning of the first summer session. Check the academic calendar http://www.rpi.edu/dept/srfs/reg/calendar.html for specific deadlines.
Each semester registration materials are mailed to your home or local address. Generally these arrive a few days before registration. Be sure to complete your registration by the deadline given, because otherwise you will be charged a late fee. Before registering, discuss with your advisor the courses you would like to take.
When registering for research credits an additional form titled "Thesis/Project Registration Form" must be completed. You can get this form from either Dawnmarie or from the registrar.
In addition to the above, the Math department has some internal guidelines as well.
2. Any time you leave your computer it is best to lock the screen anyway. To do this, use xlock or xscreensaver.
3. There is a phone in the Math Library (ext 2215). This phone is a lab phone, and it should not be used as a personal phone. Do not give the number out to your students. Tell family and friends it should be used sparingly. If the phone rings while you are in there...answer it and take a message if it isn't for you (send it by e-mail!!).
4. Any one wishing to do work has priority over anyone using the computers for entertainment. This includes surfing the web and playing games and reading or writing personal e-mail. If the room is full and someone walks in, you should offer to log off if they need to work. Since the busy time for computer usage is between 10:00 a.m. and 5:00 p.m., it is best to avoid entertainment use during this period.
5. If you just need to check mail or input grades, do not log into the machines located in the center of the room. Use the smaller, less powerful machines along the wall. In general these work quite well for that type of computer work, leaving the larger machines free for more computer intensive work.
6. Obvious rules of cleanliness apply. Clean up after yourself, don't leave old cans and cups around, etc.... Please recycle all unwanted cover sheets, or, when printing from a Unix window, type lpr -h filename which prevents the printing of the cover sheet.
7. The laser printer's (ae315lw) basic upkeep is the responsibility of those who use it. This means we all must reload paper, check toner, etc.... Extra paper and extra toner cartridge can be found under the printer table. See Lois in the main office for instructions on changing the toner.
19.1 Who to talk to for more information and help
Graduate Student Coordinator
Dawnmarie Robens is the Graduate Student Coordinator in the Math Sciences Department. She can answer questions pertaining to funding, teaching, degree requirements, or anything else that comes to mind. If she does not know the answer to your question, she will find someone for you. Dawnmarie is a wonderful person, get to know her right away! She will be your best friend throughout your career at Rensselaer.
19.2 Reserving Rooms If you ever need to reserve a room, say for a review session you are holding as a TA, or for a special talk you are giving, if you are looking for a room outside of Amos Eaton 4th floor, you should call Rensselaer's room scheduler, Michael Conroy, at ext. 6655. For Amos Eaton 4th Floor rooms, contact Melissa.
Some helpful hints:
A good source of info for International Students (visas, taxes, etc.) is the Office of International Students located in the Troy building. They even organize tax seminars. They have a web site http://www.rpi.edu/dept/doso/ISSS/public_html and every international student is automatically signed up into their list server.
Some things to remember:
The "Unofficial Graduate Student Survival Guide"
http://www.rpi.edu/~clarkc2/unofficial.html is a publication distributed by the Graduate Student Council. We include its contents, below, to give new students a reference for information pertaining to quality of life issues beyond the scope of this document. Here is an outline of what it contains:
|RCS Computer and Electronic Mail Access|
|Dining - On Campus|
|Dining - Off Campus (the CS guide has an expanded listing)|
|Housing - On Campus|
|Housing - Off Campus|
|The Library and Infotrax|
|Malls and Shopping Centers|
|The Rensselaer Union|
|Rensselaer Math Faculty|
|Name||Email Address||Office Phone|
|Bennett, Kristinemail@example.com||(518) 276-6899|
|Cheney, Margaretfirstname.lastname@example.org||(518) 276-2646|
|Drew, Donaldemail@example.com||(518) 276-6903|
|Ecker, Josephfirstname.lastname@example.org||(518) 276-6383|
|Flaherty, Josephemail@example.com||(518) 276-6348|
|Giladi, Eldarfirstname.lastname@example.org||(518) 276-3201|
|Herron, Isomemail@example.com||(518) 276-2649|
|Holmes, Markfirstname.lastname@example.org||(518) 276-6891|
|Isaacson, Davidemail@example.com||(518) 276-6900|
|Kapila, Ashwanifirstname.lastname@example.org||(518) 276-6894|
|Kovacic, Gregoremail@example.com||(518) 276-6908|
|Kramer, Peterfirstname.lastname@example.org||(518) 276-6896|
|Lim, Chjanemail@example.com||(518) 276-6904|
|Lvov, Yurifirstname.lastname@example.org||(518) 276-6893|
|McLaughlin, Harryemail@example.com||(518) 276-6895|
|McLaughlin, Joycefirstname.lastname@example.org||(518) 276-6349|
|Mitchell, Johnemail@example.com||(518) 276-6915|
|Nolan, Cliffordfirstname.lastname@example.org||(518) 276-8377|
|Pang, Jong-Shiemail@example.com||(518) 276-2994|
|Piper, Brucefirstname.lastname@example.org||(518) 276-6892|
|Roytburd, Victoremail@example.com||(518) 276-6889|
|Rubenfeld, Lesterfirstname.lastname@example.org||(518) 276-6906|
|Schwendeman, Donaldemail@example.com||(518) 276-2647|
|Siegmann, Williamfirstname.lastname@example.org||(518) 276-6905|
|Zuker, Michaelemail@example.com||(518) 276-6902|
|Name||Email Address||Office Phone|
|Boyce, Williamfirstname.lastname@example.org||(518) 276-6898|
|Fleishman, Bernardemail@example.com||(518) 276-2725|
|Habetler, Georgefirstname.lastname@example.org||(518) 276-2994|