Team
Our team is comprised of proven innovators with exceptional academic, industry, and clinical experience. DeepHealth’s clinical and technical teams consist of experts in radiology, computer vision, and machine learning, with PhDs and technical degrees from Harvard, MIT, and other respected institutions. We are led by Greg Sorensen, Radiologist and former Harvard professor and CEO of Siemens Healthcare North America.
Bill received a PhD in Biophysics from Harvard, having studied deep learning and computational neuroscience. He has extensive experience developing machine-learning solutions in domains ranging from sports analytics to algorithmic trading.
Greg is a board-certified radiologist with extensive experience as a medical practitioner, physician scientist, and business executive including positions as Professor at Harvard Medical School and CEO of Siemens Healthcare North America.
Bret received his MBA from Harvard Business School and has extensive experience in developing and commercializing new medical technology and services.
Yun received her Master’s degree of Engineering and Bachelor’s degree in Computer Science and Molecular Biology from MIT. She was previously a DeepHealth intern.
Audrey received her Master of Computer Science from Boston University. She has extensive experiences in application architecture, design and development of software solutions for communication industry clients spanning across multiple fields.
Alyssa has a master’s degree in Botany where she became passionate about bioinformatics and reproducible science. She has experience building and automating bioinformatic workflows for both startups and large corporations.
Giorgia received a PhD from the Harvard-MIT HST program, focusing on the validation of imaging algorithms. She has developed expertise in the intersection of medicine, engineering, and neuroscience.
Christy has over 13 years of Quality experience in the medical device industry with an emphasis in electromagnetic navigation systems including software, hardware, and sterile instrumentation.
Bryan received his PhD in computer science from MIT and has experience in technology transfer from academia to industry.
Jiye received a PhD in Cognitive Neuroscience and completed two post-doctoral fellowships at Princeton and Harvard. She has extensive experience working with diverse clinical populations and imaging data.
Nathan brings over 25 years of Quality, Regulatory, and Clinical experience to DeepHealth. Prior to joining, Nathan played an integral role at Veran Medical Technologies helping develop and execute a corporate strategy culminating in the acquisition by Olympus Corporation of America.
Myeongchan Kim, MD, is a Machine Learning Engineer with experience in both medicine and computer science. He has previously worked as a post-doctoral Research Fellow at MGH/Harvard Medical School.
Hyunkwang received his PhD in Electrical Engineering from Harvard. He has extensive experience in developing generalizable and explainable deep learning algorithms for medical imaging applications.
Leeann received a PhD in Integrative Biology from UC Berkeley. She has extensive experience working at the intersection of medical imaging, biomedical engineering, and musculoskeletal biology.
Mina completed a PhD in Physiology at the University of Calgary. She has experience conducting research in the fields of molecular neuroendocrinology and improving medical education program outcomes. She was most recently an Assistant Professor at Boston University School of Medicine and the Director of Professional and Career Development for Graduate Medical Sciences.
Jorge is a Machine Learning Engineer/Data Scientist with diverse experience in the development of software applications. He was also a researcher at Harvard Medical School and CTO of a corporate startup.
Abe majored in biology at the University of Minnesota and was previously an intern for DeepHealth.
Ben received his MBA from the University of Newcastle. He has an extensive background in radiology and teleradiology, as well as experience designing, optimizing, and implementing AI solutions.
Ryan received his bachelor’s in Computer science and statistics with a minor in Economics from Boston University. There he was involved in multiple research projects surrounding statistical computing.
Melina completed a PhD and post-doctoral fellowship in Neuroscience at Columbia University. She has experience conducting research in the fields of neuroscience and biomedical engineering, including with clinical populations.
Brian received his Bachelor of Science degree in Applied Mathematics from Carnegie Mellon University. He is a proven project leader with 40 years of hands-on experience
developing high quality software products.
developing high quality software products.
David is an experienced software engineer. He develops architecture to help deploy cloud and enterprise software applications in the healthcare administrative and clinical space.
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