School of Medicine
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Assistant Professor of Statistics and of Biomedical Data Science
Bio Dr. Palacios seek to provide statistically rigorous answers to concrete, data driven questions in evolutionary genetics and public health . My research involves probabilistic modeling of evolutionary forces and the development of computationally tractable methods that are applicable to big data problems. Past and current research relies heavily on the theory of stochastic processes, Bayesian nonparametrics and recent developments in machine learning and statistical theory for big data.
Clinical Assistant Professor, Orthopaedic Surgery
Current Research and Scholarly Interests Longterm follow up data of ankle arthroplasty
Latha Palaniappan, MD, MS
Clinical Professor, Medicine - General Medical Disciplines
Current Research and Scholarly Interests Dr. Palaniappan has completed over 50 studies spanning 15 years in the areas of ethnicity, obesity, and diabetes risk.
Director of HEPL, Professor of Ophthalmology and, by courtesy, of Electrical Engineering
Current Research and Scholarly Interests Interactions of electric field and light with biological cells and tissues and their applications to diagnostics, therapeutics and prosthetics, primarily in ophthalmology.
Specific fields of interest include:
Minimally-invasive optical therapeutics;
Electronic retinal prosthesis;
Microsurgical and cell-surgical technologies;
Optical imaging and spectroscopy;
Electronic control of cells and tissues;
Oxana Palesh, Ph.D., M.P.H.
Assistant Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences) at the Stanford University Medical Center
Current Research and Scholarly Interests Research focused on developing interventions for management of side effects of cancer treatments (e.g., sleep disturbance, fatigue, depression, anxiety).
Jonathan P. Palma
Clinical Associate Professor, Pediatrics - Neonatal and Developmental Medicine
Current Research and Scholarly Interests Interventional informatics to achieve examples of a learning healthcare system; optimization of commercial EMRs to support complex clinical workflows in newborn intensive care; clinical decision support; real-time clinical dashboards; electronic sign-out tools; IT-supported patient/family communication.