Peter Lee possesses extensive experience in engineering and data science, with a strong academic background in Mechanical Engineering and Materials Science. Peter obtained a Bachelor of Science and a Master of Science in Mechanical Engineering from the University of Illinois at Urbana-Champaign, followed by a Ph.D. in Materials Science and Engineering from Northwestern University. Professional roles include serving as a Manager at Ford Rapid Prototyping Lab, a Data Scientist at ImpriMed, Inc. and Scipher Medicine, where innovative drug recommendation models were developed. Peter also held positions as a Machine Learning Engineer at Meta and a Senior Machine Learning Engineer at Goldbelly. Participation in a competitive data science fellowship with The Data Incubator underscores Peter's expertise in the field. Research efforts have focused on the integration of physiological monitoring in flexible electronic systems.