About me

Hi, I am Siddarth Achar! 

My research interests include molecular simulation, statistical and quantum mechanics, machine learning, and molecular discovery. I like to focus on reactive dynamical systems where there is an interplay between  composition and conformation.

I am an Eric and Wendy Schmidt AI in Science Fellow at the University of Chicago, where I am advised by Andrew Ferguson and Junhong Chen from the Pritzker School of Molecular Engineering. I received my Ph.D. in 2024 in Computational Modeling and Simulation from the University of Pittsburgh under the supervision of J. Karl Johnson, where I developed ML-based interatomic potentials and active learning frameworks to accelerate quantum-mechanical simulations of chemical reactions and materials. 

Prior to my Ph.D., I earned a Masters degree in Chemical Engineering from Carnegie Mellon University, where I worked on computational chemical kinetics under the supervision of John Kitchin. Before that, I recieved a Bachelors degree in Chemical Engineering from R.V. College of Engineering, Bangalore.