Mukund Madhav Varma
Computational Scientist. Pre-trained on physical data and fine-tuned for ML/AI applications in molecular biology.
Hi, I’m Mukund. I’ve spent the last decade or so building AI/ML for precision medicine, first as the person writing the models and now mostly as the person running the teams that do. Along the way I’ve worked on everything from single-cell data to drug programs that made it into the clinic. More on LinkedIn.
I am Director of BioML at the Ideker Lab and Head of Machine Learning for the ARPA-H funded Dynamic Digital Tumors (DDT) program. I also advise and consult for Mycsology Foods, a food technology company developing the next generation of sustainable food ingredients.
Before UC San Diego, I held technical leadership roles in the biotechnology industry. I was Principal Machine Learning Scientist at Caris Life Sciences and computational lead for the anti-TREM1 program at Celsius Therapeutics. I trained at the Broad Institute and hold an S.M. in Physics from MIT and a B.Tech from IIT Bombay.
I have worked on computational problems in
- interpretable deep learning in molecular biology, including foundation models
- early discovery in therapeutics: target discovery, precision medicine and biomarker discovery
- omics data analysis for cancer, immunology and inflammatory disease, with deep expertise in single-cell RNA-seq
- biomarker and risk prediction with computer vision models on histopathology slides
- deployment of models, pipelines and web applications in cloud environments
My computational areas of expertise include
- statistical methods used in bioinformatics
- machine learning model development, classical and deep learning
- test-driven software development in cloud environments
The best way to reach me is through LinkedIn.
news
| Oct 15, 2026 | Our perspective with Trey Ideker on interpretable foundation models in molecular biology is out in Molecular Cell. |
|---|---|
| Jun 25, 2026 | I spoke on the “Opportunities in AI” panel at the 2026 MC² Center Virtual Symposia, a cross-consortium series convened by the NCI’s CCBIR, CSBC, MetNet, PS-ON, and Cancer TEC programs on cross-cutting themes in cancer research. |
| May 30, 2026 | I joined UC San Diego as Director of BioML in the Ideker Lab. |