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. I am funded by the NSF Graduate Research Fellowship.
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.
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.
My SM thesis can be found at 'Improving Generative Models for 3D Molecular Structures'.Publications
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
slides
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
abstract
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