Wu Tsai Human Performance Alliance
Showing 1-5 of 5 Results
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Johannes C. Eichstaedt
Assistant Professor (Research) of Psychology
Current Research and Scholarly InterestsLarge Language Models and AI: use of LLMs for mental healthcare delivery and well-being, safety and bias evaluation; anticipating impacts of AI on society
Methods: Natural Language Processing & LLMs; data science; longitudinal methods, machine learning, and psychological assessment through AI
Mental and physical health: depression and anxiety; health psychology: heart disease and opioid addiction
Well-being: emotion, life satisfaction, and purpose, and their individual and societal causes -
Cameron Ellis
Assistant Professor of Psychology
BioDr. Cameron Ellis is an Assistant Professor in the Department of Psychology. He leads the Scaffolding of Cognition Team, which focuses on the question: What is it like to be an infant? His team uses methods from neuroscience and cognitive science to assess the basic building blocks of the developing mind and answer this question. They are particularly interested in questions about how infants perceive, attend, learn, and remember. One prominent approach they use is fMRI with awake behaving infants. This provides unprecedented ways to access the cognitive mechanisms underlying the infant mind.
Dr. Ellis received his Ph.D. from Yale University in 2021. Before that, he received a Masters from Princeton University (2017) and a Bachelor of Science from Auckland University, New Zealand (2013). He was awarded the FLUX Dissertation Prize (2021) and the James Grossman Dissertation Prize (2021), as well as the William Kessen Teaching Award (2019). -
Ekene Enemchukwu, MD, MPH, FACS, URPS
Associate Professor of Urology and, by courtesy, of Obstetrics and Gynecology (Urogynecology)
Current Research and Scholarly InterestsHealth Services Research in the areas of urinary incontinence and genitourinary syndrome of menopause, quality of life, patient outcomes, quality improvement, patient satisfaction, and shared decision making.
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Daniel Bruce Ennis
Professor of Radiology (Veterans Affairs) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsThe Cardiac MRI Group seeks to invent and validate methods to quantify cardiac performance. We develop methods to measure cardiac structure (DWI/DTI), function (tagging and DENSE), flow (PC-MRI), and remodeling (diffusion, T1-mapping, fat-water mapping) for pediatrics and adults.
Fundamental to our research is a set of tools for numerically optimizing gradient waveforms, Bloch simulations, and patient-specific 3D-printed cardiovascular structures connected to computer controlled flow pumps. -
Amir Esrafilian
Visiting Postdoctoral Scholar, Bioengineering
Affiliate, Wu Tsai Human Performance AllianceBioContact info: amires@stanford.edu