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Michael Kellman, Ph.D. has over 10 years of work experience in research engineering, postdoctoral research, graduate student research, research internships, and laboratory teaching assistant roles. In 2021, they began working as a Senior Research Engineer - Machine Learning at Zendar. In 2020, they were a Postdoctoral Researcher at the University of California, San Francisco. From 2015 to 2019, they were a Graduate Student Researcher at UC Berkeley and a Research Intern at both Google and Fitbit. In 2013, they were a Laboratory Teaching Assistant at Carnegie Mellon University Dept. of ECE and an Electrical Engineering Intern at GE Oil & Gas. In 2011 and 2010, they were a Research Intern at the National Institutes of Health, where they developed a prototype software application, characterized the fluorescence lifetime of a new pH sensitive fluorescent dye, and implemented techniques in Matlab to deconvolve the system response function.

Michael Kellman, Ph.D. completed a Bachelor of Science in Electrical and Computer Engineering from Carnegie Mellon University between 2011 and 2015. Michael then pursued a Doctor of Philosophy in Electrical Engineering and Computer Science from the University of California, Berkeley between 2015 and 2020. Michael also holds certifications in Bloodborne Pathogens Safety and Fundamentals of Laboratory Safety from UC Berkeley.