I’m a postdoctoral researcher in Prof. Manos Mavrikakis’s group at the University of Wisconsin-Madison. Here, I am using first-principles calculations and machine-learned interatomic potentials to better understand active site formation for heterogeneous catalytic interfaces.

Previously, I earned my PhD under the guidance of Prof. Venkatasubramanian Viswanathan in the department of Mechanical Engineering at University of Michigan. My research broadly centered around first-principles modeling of electrochemical systems and using machine learning to guide autonomous materials discovery.

I’m also a developer of Autocat, an open-source python software that provides tools to support electrocatalytic structure generation for first principles simulation. Additionally, it provides tools to support closed-loop computational searches for electrocatalyst discovery.

Bio

• Postdoctoral Researcher, University of Wisconsin-Madison 2024-present Advisor: Prof. Manos Mavrikakis
• PhD Mechanical Engineering, University of Michigan 2024 Advisor: Prof. Venkatasubramanian Viswanathan
• MS Mechanical Engineering, Carnegie Mellon University 2023
  Advisor: Prof. Venkatasubramanian Viswanathan
• MASc Materials Science & Engineering, University of Toronto 2019
  Advisor: Prof. Chandra Veer Singh
• HBSc Physics Specialist & Math Minor, University of Toronto 2017

Research interests at a glance

• AI for Materials Science & Chemistry
• Electrocatalysis and electrosynthesis
• Surface science and heterogeneous catalysis
• Computational materials science & chemistry
• Closed-loop materials discovery
• Energy storage