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.
9 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