TEAM | Mathematics of Life

Collaborators

(including co-advised and co-mentored PhD students)

Ankita Roychoudhury

I am broadly interested in quantifying the dynamics of cellular growth and adaptation. Outside of research, I enjoy playing tennis and practicing yoga!

Addison Howe

My research focuses on the dynamics of early development and cellular differentiation. In my spare time I enjoy playing chess and judo.

Tao Li

My research focus is on quantitative biology, particularly looking at the structure of single-cell RNA-seq

Siqi Liu

A simple man who tries to simplify the complex world. My work is about the physics of living systems.

Rathi Kannan

Annisa Dea

Kiseok Lee

My research is focused on understanding the microbial ecology that govern the functional aspects of the microbiome via modeling and experimental validations. The goal is to engineer the emergent properties of the microbial community for desired traits.

Collaborators

(including co-advised and co-mentored postdocs)

Eric Johnson

Joel Dokmegang

Bipul Pandey

I am a condensed matter theorist with broad interest in the phenomenon of emergence in many body classical, quantum and active system.

Dominic Skinner

Dominic Skinner is an applied mathematician working on problems in biology and data-driven approaches to science. He finished his PhD in 2022, working with Jörn Dunkel, where he worked on non-equilibrium thermodynamics, modeling bacterial colonies, and topological analysis of multicellular systems.

An Truong Pham

Manuel Razo

I am a postdoc at Stanford University working closely with the Mani group on questions related to genotype->phenotype->fitness maps. My interests revolve around understanding Schrödinger’s question, “What is life?.” I think that one of the defining features of living systems is that they evolve, and I would go even further to say that living systems don’t evolve because they are alive, but they are alive because they evolve. My work combines high-throughput fitness measurements in microbes with machine-learning techniques to understand the phenotypic space they explore during a rapid adaptation process.