Announcements
Mathematics Continued 2021
A Look Back At Our 2021 REU Virtual Conference
Celebrating Women in Mathematics
News & Achievements
Welcoming New Students and New Faculty
Welcome back, Huskies! Welcome to the Fall 2021 semester, and to a new academic year! This semester, we are joined by a class of 10 new PhD students and 10 new MS students! We are very pleased to welcome new faculty joining our ranks! These include Julia Bernatska (Lecturer), Andreas Malmendier (Associate Professor), and Andrew […]
[Read More]UConn’s B.R.A.I.N. Summer Camp Helping Kids Overcome Math Learning Difficulties
Professor Cardetti Receives NSF Grant to Help Develop Mathematics Teacher Leaders for Connecticut
Professor Fabiana Cardetti has been awarded an NSF grant to support the project Developing Mathematics Teacher Leaders for Connecticut Alliance School Districts with CoPIs Megan Staples and Gladis Kersaint from the Neag School of Education and in partnership with the State Department of Education. The project aims to serve the national interest by developing highly […]
[Read More]Grad Students Reimagine Integration Bee as TwoWeek “Digital Bee”
Anthony Rizzie Awarded Thomas E. Recchio Faculty Coordinator Award for Academic Leadership
Upcoming Events

Sep
24
SIGMA Seminar
Galois Representations
Alvaro LozanoRobledo12:20pmSIGMA Seminar
Galois Representations
Alvaro LozanoRobledoFriday, September 24th, 2021
12:20 PM  01:10 PM
Storrs Campus
OnlineWhen we study algebraic equations, Galois theory is a fundamental tool. To each polynomial we can associate a group, its Galois group, and from this group we can deduce a lot of information about its algebraic solutions and, conversely, we can deduce properties of its Galois group from the roots of the polynomial. The socalled absolute Galois group of a field \(F\) is an object that is formed from all Galois groups of polynomials over \(F\), and it is the central object of study of algebraic number theory. In this talk, we will explore the absolute Galois group of a field through its representations, which are called Galois representations.
The talk will take place online at https://uconncmr.webex.com/meet/all08012
Note: This is a preview of Math 5020 (Topics in Algebra), which is among the math graduate courses being offered for the spring semester.Contact Information: Monique Roy
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Sep
24
Algebra Seminar
Fundamental Identity For Theta Derivatives With Rational Characteristics
Julia Bernatska (University Of Connecticut)3:00pmAlgebra Seminar
Fundamental Identity For Theta Derivatives With Rational Characteristics
Julia Bernatska (University Of Connecticut)Friday, September 24th, 2021
03:00 PM  03:50 PM
Storrs Campus
MONT214A fundamental identity connecting theta derivatives and theta constants with rational characteristics is proposed. The identity is applicable to arbitrary rational characteristics, and allows to find expressions through theta constants with rational characteristics for all theta derivatives with rational characteristics. An explicit formula for computing such an expression is derived, and illustrated with examples. Expressions for theta derivatives appear to be homogeneous of degree 3 with respect to theta constants.Contact Information: mihai.fulger@uconn.edu
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Sep
24
Analysis Learning Seminar
The Dirichlet Problem And Harmonic Measure
Matthew Badger (UConn)3:30pmAnalysis Learning Seminar
The Dirichlet Problem And Harmonic Measure
Matthew Badger (UConn)Friday, September 24th, 2021
03:30 PM  04:30 PM
Storrs Campus
Monteith 313To kick off the Analysis Learning Seminar for the semester, I will present an introduction to the Dirichlet Problem for harmonic functions, and its coconspirator, harmonic measure. I'll discuss several ways to solve the Dirichlet problem, using the calculus of variations, using PDE methods, and using probability theory, as well as the connections between them. Kellogg wrote in 1926 that "(T)he Dirichlet problem has recently been through a period of remarkable development. But it is characteristic of scientific progress that each advance raises new questions." This sentiment is still true today, almost 100 years later, and investigations into the analytical properties of harmonic measure and the geometric properties of the associated domain continue today.Contact Information: Matthew Badger (matthew.badger@uconn.edu)
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Sep
27
Actuarial Science Seminar
Machine Learning: An Overview And Applications In Banking
Vijay Nair (University Of Michigan)11:00am
Actuarial Science Seminar
Machine Learning: An Overview And Applications In Banking
Vijay Nair (University Of Michigan)Monday, September 27th, 2021
11:00 AM  12:00 PM
Storrs Campus
onlineAbstract: I will begin an overview of quantitative modeling and risk assessment in a large bank including use of traditional statistical methods and recent applications of machine learning (ML) algorithms. In regulated industries such as banking, model results must be explained to various stakeholders: customers, management, and regulators. I will review different techniques for interpretability and discuss their usefulness. I will also describe some of the research threads in our group.
Webex meeting link: https://uconncmr.webex.com/uconncmr/j.php?MTID=m55d4e895bab97701c1752bfce7849e97
Meeting number:
2623 950 1910
Password:
UConn
Speaker's short bio: Prof. Nair is D.A. Darling Professor of Statistics, Professor of Industrial and Operations Engineering at the University of Michigan. He has a broad range of interests in methodology, theory, and applications. He is a Fellow of the American Association for the Advancement of Science, Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, and Elected Member of the International Statistical Institute. Please visit his website https://lsa.umich.edu/stats/people/faculty/vnn.html for more informaiton.Contact Information: bin.zou@uconn.edu (Bin Zou)
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Sep
27
Control And Optimization Seminar
MonteCarlo Methods For HighDimensional Problems In Quantitative Finance
Mete Soner (Princeton)2:00pm
Control And Optimization Seminar
MonteCarlo Methods For HighDimensional Problems In Quantitative Finance
Mete Soner (Princeton)Monday, September 27th, 2021
02:00 PM  03:00 PM
Storrs Campus
OnlineAbstract: Stochastic optimal control has been an effective tool for many problems in quantitative finance and financial economics. Although, they provide the much needed quantitative modeling for such problems, until recently they have been intractable in highdimensional settings. However, several recent studies report impressive numerical results: Cheredito, Becker and Jentzen (2019, Journal of Machine Learning Research) studied the optimal stopping problem (a problem closely connected to pricing American type options in quantitative finance finale) providing tight error bounds and an efficient algorithm up to 100 dimensional problems. Buehler, Gonon, Teichmann and Wood (2019, Quantitative Finance) on the other hand, considers the problem of hedging and again reports results for highdimensional problems that were intractable. All these papers use a MonteCarlo type algorithm combined with deep neural networks proposed by Han, E and Jentzen. In this talk I will outline this approach and discuss its properties. Numerical results, while validating the power of the method in high dimensions,
also show the dependence of the dimension and the size of the training data. This is joint work with Max Reppen of Boston University and Valentin TissotDaguette from Princeton.
Webex Meeting link: https://uconncmr.webex.com/uconncmr/j.php?MTID=mbf144adcaf1f064d1a9242202b7d9581
Meeting number: 120 535 2896 Password: UConn
Speaker's bio: Mete is a Professor of Operations Research and Financial Engineering at Princeton University. He is also affliated with the Bendheim Center of Finance and with the Program in Applied & Computation Mathematics. Previously, he was a professor of mathematics and the Chair of the department at ETH Zurich. His research is on decisions under uncertainty and I work on related problems in stochastic optimal control, Markov decision processes, nonlinear partial differential equations, probability theory, mathematical finance and financial economics. Please visit his website for more information: https://soner.princeton.edu/Contact Information: Bin Zou, bin.zou@uconn.edu
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