Daniel Fridman

Daniel Fridman is currently a PhD student at Harvard University, specializing in Bioinformatics and Integrative Genomics. Previously, Daniel served as an Associate Computational Biologist at the Broad Institute of MIT and Harvard, focusing on genomic privacy and big biomedical data analysis. Prior research experience includes work as a Student Researcher at Yale University's Joe Howard Lab, applying Bayesian Inference to dendrite morphogenesis data, and a Summer Student Researcher at the University of Oxford, studying Approximate Bayesian Computation algorithms in cardiac electrophysiology. Earlier roles include a Summer Intern at Pfizer, investigating liver metabolism related to diabetes, and a Student Research Assistant at SUNY Downstate Medical Center, where techniques in cell culturing and molecular modeling were developed. Daniel holds a Bachelor's degree in statistics and data science, and molecular biochemistry and biophysics from Yale University.