Chris Dunham earned his B.S. degree in Chemistry from the University of Michigan - Ann Arbor in 2016, his M.S. degree in Chemistry from the University of California, Los Angeles (UCLA) in 2018, and his PhD in Chemistry from UCLA in 2022. His doctoral research in the James K. Gimzewski laboratory focused on elucidating mechanisms of maturation in stem cell-derived cardiomyocytes (SC-CMs). This project utilized a highly sensitive microelectrode array (MEA) system to investigate a variety of phenomena in 2D monolayers of human pluripotent and embryonic SC-CMs and required custom-built analysis tools to interpret the data. Chris interned with ThermoFisher Scientific's Machine Learning and Algorithm team in Summer 2021, where he helped develop and improve models for understanding and predict real-time PCR data.
Chris joined NSF BioPACIFIC MIP in 2022 to engage in the collaborative development of data collection and archiving tools to facilitate machine learning applications and enhance data accessibility.