About
I am a PhD candidate at the Laboratory for Biomolecular Modeling at EPFL. My research interests include applications of machine learning in structural bioinformatics, computational biophysics and integrative modeling. I enjoy playing chess, traveling, reading, and building things.
Education
PhD in Computational and Quantitative Biology
EPFL, Switzerland
Advisor: Prof. Matteo Dal Peraro
BS-MS in Biology (Minor in Computational and Data Sciences)
IISER Kolkata, India
MS Thesis: Applications of Geometric Deep Learning for Biomolecular Structure Modeling
Advisor: Prof. Matteo Dal Peraro
Projects
RISoTTo
A parameter-free geometric deep learning approach that generates RNA sequences conditioned on both their backbone scaffolds and the surrounding molecular context. Presented at NeurIPS AI4D3 workshop 2025.
PeSTo-Carbs
A geometric transformer model extending PeSTo to predict binding interfaces between proteins and carbohydrates, including protein–cyclodextrin interactions, with high accuracy. Featured as Journal Cover.
Welearn-bot
A CLI application to interact with welearn in the IISER Kolkata domain. Supports file downloads, assignment listing, and Google Calendar integration.
Teaching
Teaching Assistant — EPFL Team iGEM
EPFL, Switzerland
Supervised students for the computational and mathematical modeling aspects of a synthetic biology project.
Teaching Assistant — BIOENG-455: Computational Cell Biology
EPFL, Switzerland
Supervised students for various aspects of the course.
Teaching Assistant — BIO-315: Structural Biology
EPFL, Switzerland
Supervised students for modules: Molecular Dynamics, Molecular Modeling, and CryoEM analysis.
Talks & Conferences
Physics of Living Systems Seminar
EPFL AIxBIO Seminar
Swiss RNA Workshop
frontiers2026 Symposium on NanoBioEngineering
SIB AI4Biomolecules SIG Seminar
NeurIPS AI4D3 Workshop
European RosettaCon
Structure Based Drug Discovery
European RosettaCon