About

Concentrations

Theoretical biophysics, statistical physics

Research Group Website

hinczlab.org

Interests

Our group applies concepts from statistical physics to a wide range of phenomena in living systems. A primary focus is modeling evolution, from predicting and controlling drug resistance in diseases such as cancer to understanding how thermodynamics shaped the origins of cellular processes. The group is also engaged in diverse interdisciplinary collaborations, including work on optical biosensors, machine learning, and art history.

Selected Publications

E. Ilker, M. Hinczewski, “Bioenergetic costs and the evolution of noise regulation by microRNAs”, Proc. Natl. Acad. Sci. 121, e2308796121 (2024).

J. Maltas, D.S. Tadele, A. Durmaz, C.D. McFarland, M. Hinczewski, J.G. Scott, “Frequency-dependent ecological interactions increase the prevalence and shape the distribution of preexisting drug resistance”, PRX Life 2, 023010 (2024).

E. Ilker, Ö. Güngör, B. Kuznets-Speck, J. Chiel, S. Deffner, M. Hinczewski, “Shortcuts in Stochastic Systems and Control of Biophysical Processes”, Phys. Rev. X 12, 021048 (2022).

S. Iram, E. Dolson, J. Chiel, J. Pelesko, N. Krishnan, Ö. Güngör, B. Kuznets-Speck, S. Deffner, E. Ilker, J.G. Scott, M. Hinczewski, “Controlling the speed and trajectory of evolution with counterdiabatic driving”, Nature Physics 17, 135 (2021).