Summary
Joshua Levy is a data-driven biomedical researcher and leader with a decade of experience applying machine learning and high-throughput computation to public health and pathology challenges. As Director of Digital Pathology Research and Assistant Professor at Cedars-Sinai, he bridges clinical practice and computational science to translate algorithms into diagnostic and epidemiologic impact. He maintains active faculty roles at Dartmouth and consults for the VA, reflecting a portfolio that spans academic research, health systems implementation, and government-biased biostatistics. Trained in physics at UC Berkeley and holding a PhD in Quantitative Biomedical Sciences from Dartmouth, he combines rigorous quantitative foundations with practical, production-minded ML for healthcare. Notably, he leads multidisciplinary teams that operationalize large-scale pathology imaging and analytics pipelines rather than only publishing models in isolation.
10 years of coding experience
Bachelor's degree, Physics, Graduated with Highest Distinction, Bachelor's degree, Physics, Graduated with Highest Distinction at University of California, Berkeley
Doctor of Philosophy - PhD, Quantitative Biomedical Sciences (Data Science), Doctor of Philosophy - PhD, Quantitative Biomedical Sciences (Data Science) at Dartmouth College