Graduate Student

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

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.

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

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

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.

Programming cells, evolutionary dynamics, transcription network stability