Alumni

Probabilistic methods development for cancer immunology; computer vision for biomedical images with clinical applications

Nicholas is our resident experimentalist. He experimentally studies many soft systems: buckling of thin shells, hydrogel friction, and helical colloids. Nicholas is co-advised by Shmuel M. Rubinstein and Zvonimir Dogic.

Programming cells, evolutionary dynamics, transcription network stability

RNA free energy landscapes; post-translational protein oscillators; self-assembly of protein multimers

Statistical mechanics framework for design problems in Naval Engineering and self-assembly, tensor network methods for classical statistical physics.

Ryan is a fourth-year PhD student in Applied Math working on inverse design for biomolecules

Developing neural network-based surrogate model for Monte Carlo; Characterizing phase-change material with simulation and statistical mechanics

Design of biomaterials: combining analytics and computations to optimize self-assembly

I study how interactions between entities at one level give rise to functionality at a higher level of organization. I am interested in ecology, microbes and collective behaviour.

Programmable assembly of bio-inspired materials using statistical mechanics framework and molecular dynamics simulations

I am interested in the statistical mechanics and non-equilibrium physics of biological systems, with a special focus on biomolecular folding and nanotechnology. I hope to use my postdoctoral position to learn some machine learning techniques that can be...

Currently an Assistant Professor at IST Austria.

My research area expands through three main complementary research thrusts: Fluid Dynamics, Aerodynamics, and Aeroacoustics. I investigate underpinning principles in the aforementioned areas using the proper mathematical and computational tools.

Fluid Dynamics, machine learning of PDE