I am a PhD student at MIT EECS in Professor Tess Smidt's group, the Atomic Architects. I am broadly interested in the applications of machine learning to the computational sciences, especially at the intersection of equivariant models and generative modelling for biochemical systems. I am funded by the NSF Graduate Research Fellowship.
In 2024, I was an intern at Prescient Design where I worked on conformational ensembles of small peptides with Joseph Kleinhenz and Bodhi P. Vani.
Previously, I was a Pre-Doctoral Researcher at Google Research India, working with Prateek Jain and Gaurav Aggarwal on privacy-preserving graph neural networks.
I was a Caltech SURF Award recipient in 2019 and won the ACM SIGBED Scholars Award in 2020. At the time, I was an intern with the MLIA group at NASA Jet Propulsion Laboratory, where I worked with Kiri Wagstaff and Gary Doran on time-series algorithms to improve the responsiveness of the Plasma Instrument for Magnetic Sounding on the upcoming Europa Clipper mission.
In 2024, I received an S.M. in Electrical Engineering and Computer Science from MIT, where I was advised by Tess Smidt. I graduated with a B.Tech in Computer Science and Engineering (with a minor in Mathematics) from the Indian Institute of Technology, Guwahati in 2020.
I've also spent time as a volunteer at Youth4Jobs Shine where I mentored differently-abled youth on career planning and seeking employment, at English On Call where I taught English to non-native speakers, and at the MIT EECS GAAP program for helping underrepresented applicants with graduate school admissions.
Publications
EquiJump: EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants
GEM at ICLR'25
article
openreview
JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling
AIDrugX at NeurIPS'24
article
openreview
code
The Price of Freedom: Exploring Tradeoffs between Expressivity and Computational Efficiency in Equivariant Tensor Products
GRaM at ICML'24
openreview
code
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
,
ICLR'24
article
openreview
code
Differentially Private Graph Neural Networks for Medical Population Graphs and the Impact of the Graph Structure
IEEE ISBI'24
article
Learning Integrable Dynamics with Action-Angle Networks
,
ML4PS at NeurIPS'22
article
poster
code
Unsupervised Detection of Saturn Magnetic Field Boundary Crossings from Plasma Spectrometer Data
,
Computers and Geosciences
article
code
Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft
,
IEEE Transactions on Aerospace and Electronic Systems
article
code
Integrating Deep Learning and Unbiased Automated High-Content Screening to Identify Complex Disease Signatures in Human Fibroblasts
Nature Communications
article
Node-Level Differentially Private Graph Neural Networks
,
PAIR2Struct at ICLR'22
article
video
openreview
Interactive Media for Understanding ML Methods: A Case-Study on Graph Neural Networks
,
Rethinking ML Papers at ICLR'21
article
video
slides
openreview
Detection of Environment Transitions in Time Series Data for Responsive Science
,
MiLeTS at KDD'20
article
video
slides
Talks and Presentations
Time-Series Analysis Methods for Onboard Detection of Magnetic Field Boundaries by Europa Clipper
,
Second AI and Data Science Workshop for Earth and Space Sciences
poster
2-uniform words: cycle graphs, and an algorithm to verify specific word-representations of graphs
,
Workshop on Words and Complexity
article
slides
An Introduction to (Modern) TensorFlow
CVIT Summer School, IIIT Hyderabad
slides
Miscellaneous
Magnetic Field Boundaries in Cassini Plasma Spectrometer Data
An open-access dataset of CAPS ELS instrument observations with labelled crossing events.
zenodo
cite