She received her Ph.D. in Biostatistics from the University of California, Berkeley and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. 

Samuel was born and raised in Salt Lake City, UT.  After serving an LDS mission in Russia for 2 years, he pursued a love for science and the humanities and earned undergraduate degrees in Chemistry, Russian and International Studies from the University of Utah.  He then returned to the University of Utah for medical school where he was given a scholarship to add an additional year to his education to earn a Masters in Bioengineering with an emphasis on medical technology innovation through the BioInnovate Program.  He has been involved in numerous NSF and NIH funded research and innovation projects within the University of Utah Health Sciences, Lassonde Entrepreneur Institute, and the Center for Medical Innovation.  He is the co-founder of multiple startups focusing on digital health, minimally invasive surgery, and smart technology. During medical school he was the President of the AMA for the Utah medical student chapter, was a voting member of the Board of Trustee for the UMA (Utah Medical Association), and co-founded two medical-student driven outreach clinics for the homeless and refugee populations.

He recently graduated from the Internal Medicine residency program at the University of Utah where he was able to continue much of his research and innovation projects. During his training he gained a new perspective on systemic challenges within health care delivery and implementation. His current interests involve improving outcomes, reducing costs, and increasing patient and provider satisfaction via a multidisciplinary effort that brings together advanced analytics, implementation science, system and process modeling, smart technology, and patient-centered design to enable the medical community with the information and tools they need for the management of patients throughout the health care system.  

Samuel enjoys spending time with his wife and two boys, snow skiing, biking and working on his 1970 Ford Bronco.

Jasmin Moshfegh is a PhD candidate in Health Economics. She studies how and why innovations in healthcare diffuse, how they shape healthcare provision, and how they affect health inequality. Her dissertation work is supported by the Agency for Healthcare Research and Quality (R36 award).

Dr. Jonathan Lee, MD, MBA is a Health Policy (Health Economics) PhD candidate and Political Science MA student. In addition, he is a Clinical Assistant Professor of Psychiatry and Behavioral Sciences. Dr. Lee's research focuses on the causes and consequences of, as well as solutions to, rising distrust in sources of expert information (e.g., science, health). This includes studying phenomena such as the politicization of science and health, political polarization, filter bubbles/echo chambers, the emerging post-truth world, and information warfare. It also includes seeking heteorgeneity in the findings across particular demographics at high socioeconomic and health risk. He draws on theories and methods from his uniquely interdisciplinary set of educational, research, and professional experiences, including those from experimental and behavioral economics, political science, psychology, and machine learning. He is currently using machine learning-based text analytics to explore how trust/distrust in sources of expert information is discussed on traditional and social media -- followed by the use of online randomized controlled survey experiments to test the causal effects of particular persuasion strategies on perceptions of trust/distrust, as well as other important behavioral outcomes of interest. In addition, Dr. Lee works on designing and evaluating novel survey experimental research methods aiming to address common, problematic survey biases (e.g., hypothetical bias, social desirability bias, confirmation bias) which may lead to less accurate and precise self-reports from survey participants.

Suhani Jalota is a PhD Candidate in Health Economics at Stanford University and holds an MBA from the Stanford Graduate School of Business (GSB.) Her areas of interest are development and labor economics, with a particular focus on gender in poor households. She uses field experiments to study the interplay between women's economic power, dignity, and health — as well as the role of technology in amplifying their agency.