Mukund Madhav Varma

Computational Scientist. Pre-trained on physical data and fine-tuned for ML/AI applications in molecular biology.

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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.