People

Graduate Students

Using an overset grid scheme to study the dynamics of particles confined to fluid interfaces. (Advisors: David Chopp and Michael Miksis)

Nonlinear analysis and math modeling with application in astrophysics and social systems (Advisor: Daniel M. Abrams)

My research involves designing and analyzing algorithms at the intersections of reinforcement learning, federated learning, and nonconvex optimization (Advisor: Diego Klabjan).

Gene network reconstruction methods, graph theory (Advisor: Diego Klabjan).

Nonlinear optimization of physics-based simulations (Advisor: Daniel Lecoanet)

Decomposing biomedical data into components and groups for analysis. More specificly, using Bayesian statistics in order to compute the Tucker decomposition of tensors (Advisor: Diego Klabjan).

Using dynamical system modeling and statistical tools to infer adaptation rates of fatbody RNAs in fruit files due to transient temperature changes, and construct gene regulatory networks of temperature-mediated responses associated with the circadian system. (Advisors: Bill Kath, Rosemary Braun)