Hi 👋 I'm Arjun, a 3rd year at UC Berkeley studying MCB and Data Science.
I'm interested in working on problems in BioML, functional genomics, and mech interp to enable digital biology and precision medicine. Currently I'm working at Noetik on cancer foundation models. I'm also part of the Advanced Translational Genetics Lab at the Innovative Genomics Institute where I work on combinatorial pooled optical screens, deep mutational scanning, and stem cell models for disease.
I helped set up Computational Biology @ Berkeley, started the CompBio Bootcamp, and worked with Google Research on interpreting variant calling models. I am also a part of Phoenix Consulting Group where I led a project with the National MS Society on representation learning for multiple sclerosis patient journey mapping. Previously I was a part of the UCSF–Gladstone Spitzer Lab working on engineering dendritic cells to overcome immunosuppressive tumor microenvironments.
I also produce science YouTube videos and write scripts as TLDR Science.
Recent
Updates
Started as a machine learning intern at Noetik.
Won Y Combinator Bio/AI Hackathon with tri-modal LUAD clinical decision support system.
Dendritic cell priming work accepted for presentation at the ARC Symposium.
Presented MS patient trajectory analysis at ACTRIMS Forum 2026 in San Diego.
Started teaching the Computational Biology bootcamp at UC Berkeley.
Dendritic cell priming work accepted to SITC 2025.
Joined the UCSF–Gladstone Spitzer Lab for the summer.
Started undergraduate research at the Innovative Genomics Institute (IGI), UC Berkeley.