Columbia University · Izar laboratory
Karan Luthria
MD-PhD student · Computational oncology
I study cancer evolution, metastatic progression, and tumor ecosystems using computational and multimodal approaches.
About me


I am an MD-PhD student at Columbia University in the Izar Laboratory.
My research asks how cancers evolve, acquire metastatic potential, and interact with the cells and tissues around them. I develop computational models and multimodal approaches for studying melanoma, sarcoma, and metastatic disease, with an emphasis on questions that require connecting genomic, transcriptomic, spatial, and clinical observations.
This work is motivated by a practical challenge: patient tumors are complex and change over time, while any single measurement captures only part of that biology. My goal is to build and apply methods that make those measurements more interpretable and help generate testable hypotheses about progression and treatment response.
Before medical school, I studied computer science at the University of Maryland, Baltimore County (UMBC). I was named to MLH’s Top 50 Hackers ↗ and received a Goldwater Scholarship for work using deep learning to improve drug-repurposing models.
Away from research, I play tennis, hike, and spend time in the mountains. I enjoy trying new restaurants and am a Yelp Elite reviewer, and I’m perfecting my chai-making process. I’m a Washington Wizards fan and make sure to watch each game (shoutout AJ Dybantsa); my fantasy football team, meanwhile, keeps losing each Sunday.
Research overview ↗Recent Updates
- 2026
The study examines genomic features associated with metastatic competence and reconstructs melanoma evolution from primary tumors to distant disease.
- 2026
The clinical study pairs combination treatment with single-cell profiling to characterize tumor and immune states associated with treatment response.
- 2026
Awarded an NIH/NCI F30 fellowship ↗.
The fellowship supports doctoral research and training in cancer biology, including work on melanoma dormancy and metastatic relapse.
- 2026
The grant supports research on genomic programs that may help melanoma cells disseminate, remain dormant, and later reactivate.
- 2025
The paper maps tumor and microenvironmental states in lung cancer brain metastases using single-cell and spatial genomics.
- 2025
The study investigates how neuronal activity contributes to small cell lung cancer development and progression.
- 2025
Published a first-author educational module in MedEdPORTAL · Deconstructing the Monolith ↗
The module teaches learners to recognize health disparities within Asian American, Native Hawaiian, and Pacific Islander populations.