Daniel Chenet

Daniel Chenet, PhD, has extensive experience in research and development within the fields of semiconductor technology, nanoelectronics, and AI/ML applications. From October 2019 to February 2022, Daniel served as Applied Research Manager at The Johns Hopkins University Applied Physics Laboratory, where responsibilities included leading sensor algorithms and modeling for the Department of Defense. Prior to this role, Daniel contributed as a Presidential Fellow at Columbia University, co-authoring over 15 journal articles in prominent publications such as Science and Nature Materials. Current employment as AI/ML Research TPM at Meta began in February 2022, following a position at BD focused on product management and strategy in medical technology. Earlier career roles included work as a GEM PhD Fellow and Staff Mechanical Engineer at Brookhaven National Laboratory and as a Process TD Engineer at Intel Corporation, showcasing a consistent progression in technical leadership and innovation. Daniel earned both an MS and PhD from Columbia University's Fu Foundation School of Engineering and Applied Science.