Multidisciplinary Innovation
What if we could predict which rare disease patients will respond to treatment before they even start therapy?
I'm building the algorithms, infrastructure, and clinical AI systems to make this possible.
University of Southern California (USC) trained computer scientist pursuing an MS at University of California, San Francisco (UCSF) AI for Drug Discovery program, working at the convergence of computational biology, clinical AI, and ML systems engineering.
Designing algorithms that decode biological complexity in rare and chronic diseases, building infrastructure that scales therapeutic discovery from genomics to clinical trials, and developing AI that directly improves patient outcomes where treatment options are most limited.
Rowing coach and athlete, bringing discipline, systems thinking, and team leadership to cutting-edge research in medicine discovery.
