Summary
Karan Luthria is a computational biomedicine researcher and MD-PhD student with nine years of experience building data-driven healthcare tools, from clinical data visualizations at Harvard Medical School to NLP and genomic similarity models at NIH and UMBC. He blends machine learning, statistics, and full-stack development to ship patient-facing apps—currently leading a mobile health data aggregator and previously creating a Surgical Visual Consent Tool to personalize risk communication. A 4.0 Biomathematics/Bioinformatics graduate, he has applied sensor and social media analytics at NIDA and interactive web visualizations at Johns Hopkins APL, showing a rare mix of clinical, research, and product instincts. Based in New York, he excels at translating complex biomedical signals into usable tools for patients and clinicians, and often takes leadership roles in student innovation initiatives like hackUMBC.
9 years of coding experience
4 years of employment as a software developer
MD-PhD, MD-PhD at Columbia University Vagelos College of Physicians and Surgeons
UMBC