About

I am currently a scientist in the Institute of Computation at Altos Labs. Before moving to the Bay Area, I had a short stint at MathWorks as a senior application engineer in the computational biology group.

I am mostly interested in the intersection of biology, computation, modeling (statistical and first-principle), and artificial intelligence. Before pivoting to industry, I obtained a PhD at the University of California San Diego under the supervision of Prof. David Saintillan in computational biophysics to understand how our genome organizes inside the nucleus of a cell.

Prior to UCSD, I obtained an M.S.(Engg.) degree from Jawaharlal Nehru Centre for Advanced Scientific Research (Bangalore, India) under the supervision of Prof. Meheboob Alam and a B.Tech. degree in Chemical Engineering from National Institute of Technology Karnataka Surathkal.


Research Interests

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Computational Biology & Biophysics

Modeling cellular processes from molecular to tissue scales, with focus on chromatin dynamics and gene regulation.

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Statistical & First-Principle Modeling

Bridging data-driven and physics-based approaches to understand complex biological phenomena.

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AI for Drug Discovery

Graph-based machine learning and deep learning methods for drug discovery.

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Multiscale Modeling

Connecting nano-scale chromatin mechanics to micro-scale nuclear organization and epigenetic regulation.


Recent News

Feb 2025
New preprint submitted to eLife on macroscopic analyses of RNA-Seq data to reveal chromatin modifications in aging and disease.
Feb 2025
Preprint on multiscale modeling of chromatin and epigenetics submitted to Journal of Biological Chemistry.
Jan 2025
Paper on semantic information and channel capacity published at IEEE Global Communications Conference.
Oct 2023
Poster presentation at Cell State Conversions at Cold Spring Harbor Laboratory.
Jun 2023
Invited seminar at the Flatiron Institute, New York, hosted by Prof. Michael J. Shelley.