We use theory, simulation, and data-driven modeling to understand how molecular interactions give rise to collective behavior in biological and soft-matter systems.

Deciphering the Dynamic Control of Self-organized Actomyosin Contractility and Mechanosensitivity in the Actin Cytoskeleton

Deciphering the Dynamic Control of Self-organized Actomyosin Contractility and Mechanosensitivity in the Actin Cytoskeleton

Investigating the mechanics and dynamics of actin cytoskeleton through simulations and theoretical modeling.

Postdoc Work (2019-2024)

The Role of Filament Turnover in Cortical Flow using Simulations and Representation Learning

The Role of Filament Turnover in Cortical Flow using Simulations and Representation Learning

Investigating how actin turnover tunes cortical flow speeds through simulations and representation learning.

Thermodynamic Control of Activity Patterns in Cytoskeletal Networks

Thermodynamic Control of Activity Patterns in Cytoskeletal Networks

A thermodynamic principle for controlling cytoskeletal structure via energy-based renormalization.

A Strong Nonequilibrium Bound for Sorting of Cross-linkers on Growing Biopolymers

A Strong Nonequilibrium Bound for Sorting of Cross-linkers on Growing Biopolymers

Investigating a nonequilibrium bound for cross-linker sorting during actin polymerization and bundling.

Graduate Work (2012-2018)

Crystallization of Ice and Organics

Crystallization of Ice and Organics

Exploring the heterogeneous nucleation of ice from organic and biological surfaces using molecular dynamics and Classical Nucleation Theory.