About

I am a PhD student in the Lab of Computational Science and Modeling at EPFL since the summer of 2020. Before embarking on this adventure, I was working on getting my Masters at the Indian Institute of Space Science and Technology, where I started given my fascination with the stars and mysteries of the giant worlds beyond our world, but ended up falling in love with the dynamics of objects on the opposite end of the length scale. My current research interests include machine learning (ML) enabled simulations at the atomic scale, incorporating symmetries (equivariance) in these frameworks and unifying them with electronic structure.

Work Experience at a glance

• Co-organizer MLIP workshop (November 2023)
• Microsoft AI4Science intern, Berlin (July - October 2023)
• Co-organizer Swiss equivariant learning workshop (July 2022)
• NCCR MARVEL Inspire Potentials Fellow, EPFL (August 2019 - May 2020)
• Future Research Talent Scholar, Australian National University (May - July 2019)
• JPL Summer intern, Jet Propulsion Lab and Caltech (May - July 2018)
• LIGO SURF intern, Caltech (May - July 2017)

Let’s go to work

Courtesy NCCR Women, a video capturing my day at work (2021)

Some recorded talks

• Lennard Jones Center, 2022
• ML4M, 2022
• MLIP workshop, 2021

Codes contributed to

• Library for integrating ML and Hamiltonian learning, J. Nigam et al.
• Metatensor, G. Fraux et al.
• Librascal, F. Musil et al.
• AniSOAP, R. Cersonsky et al.
• TENSOAP, D. Wilkins, A. Grisafi et al.