Jeremy Smoldon

Dr. Jeremy Smoldon is an Adjunct Lecturer in the MS in Informatics program at San José State University’s School of Information, College of Professional and Global Education. He holds a Ph.D. in Health Sciences/Medical Neuroscience from Rutgers University (2024), an MBA in Healthcare Administration/Marketing from Benedictine University, and an MA in History of Science and Medicine from Western Washington University. His teaching focuses on Health Informatics, AI, and Machine Learning in healthcare contexts.

• Ph.D. in Health Sciences/Medical Neuroscience – Rutgers University (2024)
• M.B.A. in Healthcare Administration/Marketing – Benedictine University
• M.A. in History of Science and Medicine – Western Washington University

His research and teaching interests include Health Informatics, Medical Libraries, Philosophy/Values/Ethics of LIS, Research Methods, Scholarly Communication, Information Visualization, and Technology Integration. He brings extensive professional experience from the biotech, pharmaceutical, and medical device sectors, with a specialty in Neuroscience—particularly Psychiatry and Neurology—including ADHD, Depression, Epilepsy, Movement Disorders, and Sleep Disorders.

Dr. Smoldon has held roles of increasing responsibility in Medical Affairs, Sales Leadership, Training, and Managed Markets/Payer Relations. He has implemented and optimized AI and ML capabilities in healthcare and possesses direct field experience across multiple U.S. states, including CA, AZ, CO, WA, and others. His academic and vocational interests include clinical optimization and healthcare quality management.

He has served on the Advisory Board for SJSU's MS in Informatics program since 2018 and has been a reviewer for the Informing Science Institute since 2024. Although no publications are listed in the provided text, his expertise bridges academic instruction and real-world healthcare innovation.

• National award-winning neuroscience leader

Dr. Smoldon advises students in the Informatics program and contributes to curriculum development through his advisory role. He is actively involved in integrating emerging technologies into health informatics education. He is affiliated with the MS Informatics program and teaches courses such as INFM 284 with seminars on AI and Machine Learning in healthcare and pharmacoeconomic data analysis.

He is part of the academic team at SJSU's iSchool and collaborates on initiatives related to health informatics and technology integration in medical settings. His role emphasizes practical, industry-aligned education for graduate students pursuing careers in informatics.