boston college math phd application

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Mathematics PhD Application Deadline

Friday, January 20, 2023

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Deadline to submit applications for Fall 2023

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Department of Mathematics / Department of Mathematics is located in Chestnut Hill, MA, in a suburban setting.

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r/mathematics is a subreddit dedicated to focused questions and discussion concerning mathematics.

Ph.D. in Mathematics - Admission

Hi, I have been admitted to the Mathematics Ph.D. program at Boston College and Penn state. I am interested in Algebraic Number Theory/ Algebraic Geometry. I have to decide between the two soon. For this particular area, Boston College seems better. Would greatly appreciate some help and insight.

Some elaboration on exactly how well is Boston College known for Mathematics would also help. Also, how much does its vicinity to other universities (MIT, BU, Harvard..) really matter, esp to a PhD student?

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Department of Mathematics

Doctorate in mathematics (phd).

Our PhD program is small and selective and leads to a doctorate degree in mathematics. We recruit outstanding students from around the world and train them to be effective teachers and cutting-edge researchers. You will find our strengths in algebra, analysis, topology, number theory, combinatorics, and applied mathematics.

Why Brandeis?

The math department combines the informality and flexibility of a small department with the intellectual vigor of a faculty whose research accomplishments have placed it among the top departments in the country. The result is an active dialogue among all members of the department and a general air of living, creative mathematics. Our coursework gives you a broad foundation in modern mathematics. 

An essential part of the PhD program consists of seminars on a variety of topics of current interest in which mathematicians from greater Boston often participate. Just beyond Brandeis, you'll find an extended mathematical community of great diversity and depth. In addition to attending lectures, seminars and colloquia, you'll have many opportunities to connect with mathematicians at Boston College, Boston University, Harvard, MIT and Northeastern, to name a few.

Careers and Alumni

Brandeis PhDs in mathematics follow in the footsteps of eminent scholars. Our alumni include: 

• Victor J. Katz , Brandeis PhD '68  received the 2 023 Yueh-Gin Gung and Dr. Charles Y. Hu  Award  for Distinguished Service to Mathematics , the most prestigious  award  for service offered by the Mathematical Association of America.
• Anish Ghosh PhD '06 has received the 2021 Shanti Swarup Bhatnagar Prize in Mathematical Sciences , India's highest science award. In an interview with GSAS , Ghosh describes his work as a "branch of mathematics called ergodic theory which can be loosely described as the mathematically rigorous study of chaotic systems...Somewhat surprisingly, it turns out that ergodic theory is closely connected to an ancient branch of mathematics called number theory. My work explores the connections between these two subjects." Ghosh describes his experience at Brandeis as "wonderful" and says that his "PhD supervisor Dmitry Kleinbock was my mentor and provided all the support and guidance that I needed," while citing other influential faculty mentors in the department as well. Ghosh is currently a faculty member at the Tata Institute of Fundamental Research (TIFR) , Mumbai where he specializes in Ergodic Theory and Number Theory.
• Douglas Ravenel, Brandeis Math PhD '72, was named a co-winner of the 2022 AMS Oswald Veblen Prize in Geometry for a paper that he co-authored with Michael Hill and Michael Hopkins," On the nonexistence of elements of Kervaire invariant one ." In an interview with AMS, Ravenel states "Solving the Kervaire invariant problem was the biggest surprise of my mathematical life....The discovery that Hill, Hopkins, and I made 40 years later felt like hiking in the Alps only to find a shortcut up Mount Everest." The Oswald Veblen Prize is awarded every 3 years to honor the authors of a notable research work in geometry or topology. Ravenel's PhD advisor at Brandeis was Mathematics Professor Emeritus Edgar Brown. Ravenel is a currently a Professor of Mathematics at the University of Rochester .
• Karen Keskulla Uhlenbeck MA'66, PhD'68 is the distinguished recipient of the Abel Prize in Mathematics (2019),   MacArthur Prize Fellowship  (1983),  Noether Lecture  (1988),  National Medal of Science for Mathematics and Computer Science  (2000), the  Guggenheim Fellowship for Natural Sciences, US & Canada  (2001), and the American Mathematical Society's  Leroy P Steele Prize (2007).
• János Kollár PhD’84, a co-recipient of the 2017 Shaw Prize in Mathematical Sciences, which honors breakthroughs by researchers in the fields of mathematics, astronomy, and life science and medicine.
• Leslie Lamport MA’63, PhD’72, H’17 received the 2013 A.M. Turing Award from the Association for Computing Machinery.

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Contact Professor Thomas Fai  for more information about the program.

Application Deadline

January 15 for fall admission

Questions about Graduate Applications?

Anna Esposito Academic Administrator 781-736-2311 [email protected]

“I would advise (students) to have an open mind and study as many different mathematical topics as they can. Also, mathematics is very difficult and constant failure is a part of every mathematician's life, so one has to accept it and plod on. Occasionally, one is rewarded with an insight into some beautiful mathematics and that makes it all worthwhile.”

Anish Ghosh PhD '06

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Admissions to all of our graduate programs is conducted through the BU Graduate School in the College of Arts and Sciences.

• PhD in Mathematics : see the PhD in Mathematics program page .
• PhD in Statistics : see the PhD in Statistics program page .
• MA in Mathematics : see the MA in Mathematics program page .
• MA in Statistics : see the MA in Statistics program page .
• MS in Statistical Practice (MSSP) : see the MSSP admissions page .
• BA/MA Program : see our Undergraduate Degree Programs page .

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• Mohler, George

Computer Science Faculty

George mohler.

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Telephone: 617-552-6905

Email: [email protected]

• B.S., Indiana University - Bloomington
• Ph.D., University of California - Santa Barbara

Research Interests

Statistical and deep learning approaches to solving problems in spatial, urban and network data science.  Several current projects include modeling and causal inference for overdose and social harm event data, fairness and interpretability in criminal justice forecasting, and modeling viral processes and link formation on networks using a combination of point processes and neural networks. 

Computer Science

Selected Publications

R. Pandey, J. Carter, J. Hill and G. Mohler. Rewiring police officer training networks to reduce forecasted use of force. Proceedings of 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD 2023).

Ray, B., Mohler, G., Korzeniewski, S., Carroll, J., del Pozo, B., Victor, G., Hedden, B., & Hyun, P.  Spatiotemporal analysis exploring the effect of law enforcement drug market disruptions on overdose. To appear in the American Journal of Public Health.

X. Miscouridou, S. Bhatt, G. Mohler, S. Flaxman, & S. Mishra.  Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes.  To appear in Transactions on Machine Learning Research.

Badirli, S., Picard, C. J., Mohler, G., Richert, F., Akata, Z., & Dundar, M. (2023). Classifying the unknown: Insect identification with deep hierarchical Bayesian learning.  Methods in Ecology and Evolution .

Mohler, G., & Mateu, J. (2023). Second order preserving point process permutations.  Stat , e558.

Piza, E. L., Hatten, D. N., Carter, J. G., Baughman, J. H., & Mohler, G. O. (2023). Gunshot Detection Technology Time Savings and Spatial Precision: An Exploratory Analysis in Kansas City.  Policing: A Journal of Policy and Practice ,  17 .

Chiang, W. H., & Mohler, G. (2022, December). Hawkes Process Multi-armed Bandits for Search and Rescue. In  2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)  (pp. 278-285). IEEE.

Khorshidi, S., Wang, B., & Mohler, G. (2022, December). Adversarial Attacks on Deep Temporal Point Process. In  2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)  (pp. 1-8). IEEE.

MacDonald, J., Mohler, G., & Brantingham, P. J. (2022). Association between race, shooting hot spots, and the surge in gun violence during the COVID-19 pandemic in Philadelphia, New York and Los Angeles.  Preventive medicine ,  165 , 107241.

Brantingham, P. J., Mohler, G., & MacDonald, J. (2022). Changes in public–police cooperation following the murder of George Floyd.  PNAS Nexus ,  1 (5).

Short, M. B., & Mohler, G. O. (2022). A fully Bayesian tracking algorithm for mitigating disparate prediction misclassification.  International Journal of Forecasting .

Sledge, D., Thomas, H. F., Hoang, B. L., & Mohler, G. (2022). Impact of Medicaid, Race/Ethnicity, and Criminal Justice Referral on Opioid Use Disorder Treatment.  The Journal of the American Academy of Psychiatry and the Law , JAAPL-210137.