معرفی
Steve Presse is a Professor at Arizona State University (ASU), affiliated with the School of Molecular Sciences and the Department of Physics. He holds roles in the Biodesign Center for Mechanisms of Evolution, Mechanisms of Evolution Researchers, and the Center for Biological Physics. His research focuses on integrating Bayesian inference, machine learning, and statistical physics to study living systems, with experimental work on bacterial hydrodynamics and predation.
Education: Ph.D. in Chemical Physics from MIT (2008).
Research Interests: Bayesian methods, ML/AI in biophysics, single-molecule analysis, and stochastic processes. Experimental studies include bacterial interactions and predator-prey dynamics.
Research Trends: Recent work emphasizes single-molecule reaction-diffusion, Bayesian inference for binding kinetics, and deep learning applications in biophysical data. Themes include superresolved tracking, fluorescence microscopy analysis, and modeling complex biological systems.
Lab & Collaborations: The Pressé Lab actively recruits postdocs, graduate, and undergraduate students. Collaborations focus on developing computational tools for data modeling, as seen in his textbook Data Modeling for the Sciences.
