Mathematical models of virus infections

Speaker: 

Natalia Komarova

Institution: 

UC Irvine

Time: 

Friday, May 26, 2017 - 4:00pm

Location: 

MSTB 124

In collaboration with Dominik Wodarz, we would like to announce a new NSF funded project, and are hoping to interest students to join the team. This will provide the opportunity to perform novel mathematical work in the field of virus dynamics, and at the same time to apply the mathematical work to experimental and clinical data in the context of human immunodeficiency virus (HIV). The evolution of the virus within patients is an important determinant of the disease process, and is also an important reason why treatments and vaccines can fail. Recent experimental data indicate that “social interactions” among different HIV mutants within the same patient can determine evolutionary outcomes, and this has so far not been investigated mathematically, in the context of evolutionary theory. The aim of the funded project is to fill this gap. This will provide new information that will be crucial to advance our understanding of the disease, and to design more effective vaccination approaches.

Random Matrix Products

Speaker: 

Anton Gorodetski

Institution: 

UC Irvine

Time: 

Friday, April 28, 2017 - 4:00pm

Location: 

MSTB 124

Let us take a couple of 2x2 matrices A and B, and consider a long product of matrices, where each multiplier is either A or B, chosen randomly. What should we expect as a typical norm of such a product? This simple question leads to a rich theory of random matrix products. We will discuss some of the classical theorems (e.g. Furstenberg Theorem), as well as the very recent results. 

Peer observation of teaching

Speaker: 

Chris Davis

Institution: 

UC Irvine

Time: 

Friday, April 14, 2017 - 4:00pm

Location: 

MSTB 124

Peer observation of teaching is an excellent way to receive concrete, fact-based feedback on what it's like in your classroom.  This spring quarter the math department will run peer observation among 1st and 2nd year grad students, and this meeting will introduce that.  It is also open to more advanced grad students.  In particular, any student eventually needing a teaching-focused letter of recommendation (which is required for almost all postdocs) is strongly encouraged to attend this session.  Our set-up will be based on Danny Mann's talk in fall quarter.

Mathematical and Computational Problems in Data Science

Speaker: 

Jack Xin

Institution: 

UC Irvine

Time: 

Friday, April 21, 2017 - 4:00pm

Location: 

MSTB 124

I shall describe past and current projects on non-convex optimization arising in signal/image recovery and classification. The non-convexity comes from either sparse constraint or objective function constructed from probability or information theory. We shall explore techniques beyond convex relaxations. 

Using mathematics to resolve scientific concerns

Speaker: 

Donald Saari

Institution: 

UC Irvine

Time: 

Friday, April 7, 2017 - 4:00pm

Location: 

MSTB 124

Graduate students may wonder how the muscle power of mathematics can be used to solve, or at least shed light, on serious concerns from other disciplines.  In this expository presentation, I offer some examples.  The first is how orbits of symmetry groups can resolve a range of long-standing puzzles coming from voting to statistics to …  A second is how related ideas introduce new insights about the compelling “dark matter” mystery from astronomy.

Diffeomorphisms are hard to understand

Speaker: 

Matthew Foreman

Institution: 

UC Irvine

Time: 

Friday, May 19, 2017 - 4:00pm to 10:00pm

Location: 

MSTB 124

In 1932 von Neumann proposed classifying the statistical behavior of measure preserving diffeomorphisms of the torus, In joint work with B. Weiss I prove this is impossible (in a convincing and rigorous sense) even in the simplest and most concrete case: the 2-torus. 

By luck our work has accidental, but far-reaching consequences inside ergodic theory.  It establishes a “global structure theorem” for ergodic measure preserving transformations that gives heretofore unknown and surprising examples of diffeomorphisms of the torus.

Absolute robustness in deterministic and stochastic chemical reaction networks

Speaker: 

German Enciso

Institution: 

UC Irvine

Time: 

Friday, February 3, 2017 - 4:00pm

Location: 

MSTB 124

Absolute concentration robustness is a property that allows signaling networks to sustain a consistent output in the face of protein concentration variability from cell to cell.  This property is structural and can be determined from the topology of the network alone.  In this talk, I discuss this concept first for deterministic systems, and then set out to describe their stochastic behavior.  In the long term, the corresponding stochastic processes undergo an extinction event that eliminates the robustness. However, these systems have a transiently robust behavior that may be sufficient to carry out the necessary signal transduction in cells.  This work has been recently funded by NSF and graduate students are invited to inquire about working with me on this topic.

Pages

Subscribe to RSS - Graduate Seminar