Postdocs

Research Area: Dynamical Systems, Networks, Systems

PhD 2020 - Physics - University of Michigan (Advisor - Greg van Anders)
Thesis - Statistical physics of design

Research Area: Networks, Multi-scale Physics and Dynamical Systems

PhD 2017 - Physics - California Institute of Technology (Advisor - Sandra Troian)
Thesis - Symmetry and variational analysis of fluid interface equations in the thin film limit

Research Area: Uncertainty Quantification, Model Reduction

PhD 2022 - Mechanical Engineering - University of Pittsburg (Advisor - Hessam Babaee)
Thesis - Real-time reduced order modeling of high-dimensional partial differential equations via time dependent subspaces

Research Area: Computational Neuroscience, Data-Driven Modeling

PhD 2022 - Applied Mathematics - Washington (Advisor - Eric Shea-Brown)
Thesis - A discovery of neural network architectures for context-dependent computations

Research Area: Modular robotics, Machine Learning and AI

PhD 2024 - Mechanical Engineering - Columbia (Advisor - Hod Lipson)
Thesis - Robot metabolisms: self-improving developmental machines