Vice Provost and Dean of Research
Showing 21-30 of 122 Results
-
Karen J. Parker, PhD
Truong-Tan Broadcom Endowed Professor and Professor, by courtesy, of Comparative Medicine
Current Research and Scholarly InterestsThe Parker Lab conducts research on the biology of social functioning in monkeys, typically developing humans, and patients with social difficulties.
-
Vanessa Parli
Managing Director of Programs and External Engagement, Institute for Human-Centered Artificial Intelligence (HAI)
BioAs Managing Director, Programs and External Engagement at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), I lead initiatives that foster interdisciplinary collaboration and connect academic research with real-world impact. My work includes managing HAI’s industry research partnerships, executive education, policy engagement and the AI Index, creating opportunities for leaders from diverse backgrounds to engage with cutting-edge AI research, its applications, and its potential for positive social impact.
Before joining Stanford, I worked in management consulting, applying statistics, machine learning, and data science to advise government agencies, biotech firms, and nonprofit organizations. My work centered on making complex methods accessible to decision makers, ensuring technical rigor translated into actionable strategies.
I hold an MS in Engineering Management and Computational Mathematics from Johns Hopkins University and a BA in Industrial Engineering from Arizona State University. I am passionate about turning bold ideas into impact, and am recognized for my collaborative, process-driven approach to problem-solving. -
Sonia Partap
Clinical Professor, Pediatric Neurology
Clinical Professor (By courtesy), NeurosurgeryCurrent Research and Scholarly InterestsMy research interests involve the epidemiology, treatment and diagnosis of pediatric and young adult brain tumors. I am also interested in long-term neurologic effects and designing clinical trials to treat brain and spinal cord tumors.
-
Josef Parvizi, MD, PhD
Professor of Neurology and Neurological Sciences (Adult Neurology) and, by courtesy, of Neurosurgery
BioDr. Parvizi completed his medical internship at Mayo Clinic, neurology training at Harvard, and subspecialty training in clinical neurophysiology and epilepsy at UCLA before joining the Department of Neurology and Neurological Sciences at Stanford in 2007. Dr. Parvizi directs the Stanford Program for Medication Resistant Epilepsies and specializes in surgical treatments of intractable focal epilepsies. Dr. Parvizi is the principal investigator in the Laboratory of Behavioral and Cognitive Neuroscience, where he leads a team of investigators to study the human brain. http://med.stanford.edu/parvizi-lab.html.
Epilepsy patient story: https://www.youtube.com/watch?v=HXy-gXg0t94&t=3s -
Anca M. Pasca, MD
Assistant Professor of Pediatrics
On Partial Leave from 01/05/2026 To 04/19/2026Current Research and Scholarly InterestsThe research focus of the lab is to understand molecular mechanisms underlying neurodevelopmental disorders associated with premature birth, neonatal and fetal brain injury with the long-term goal of translating the lab’s findings into therapeutics. The research team employs a multidisciplinary approach involving genetics, molecular and developmental neurobiology, animal models and neural cells differentiated from patient-derived induced pluripotent stem (iPS) cells. In particular, the lab is using a powerful 3D human brain-region specific organoid system developed at Stanford (Nature Methods, 2015; Nature Protocols, 2018) to ask questions about brain injury during development.
https://www.neopascalab.org/ -
Sergiu P. Pasca
Kenneth T. Norris, Jr. Professor of Psychiatry and Behavioral Sciences and Bonnie Uytengsu and Family Director of the Stanford Brain Organogenesis Program
Current Research and Scholarly InterestsA critical challenge in understanding the intricate programs underlying development, assembly and dysfunction of the human brain is the lack of direct access to intact, functioning human brain tissue for detailed investigation by imaging, recording, and stimulation.
To address this, we are developing bottom-up approaches to generate and assemble, from multi-cellular components, human neural circuits in vitro and in vivo.
We introduced the use of instructive signals for deriving from human pluripotent stem cells self-organizing 3D cellular structures named brain region-specific spheroids/organoids. We demonstrated that these cultures, such as the ones resembling the cerebral cortex, can be reliably derived across many lines and experiments, contain synaptically connected neurons and non-reactive astrocytes, and can be used to gain mechanistic insights into genetic and environmental brain disorders. Moreover, when maintained as long-term cultures, they recapitulate an intrinsic program of maturation that progresses towards postnatal stages.
We also pioneered a modular system to integrate 3D brain region-specific organoids and study human neuronal migration and neural circuit formation in functional preparations that we named assembloids. We have actively applied these models in combination with studies in long-term ex vivo brain preparations to acquire a deeper understanding of human physiology, evolution and disease mechanisms.
We have carved a unique research program that combines rigorous in vivo and in vitro neuroscience, stem cell and molecular biology approaches to construct and deconstruct previously inaccessible stages of human brain development and function in health and disease.
We believe science is a community effort, and accordingly, we have been advancing the field by broadly and openly sharing our technologies with numerous laboratories around the world and organizing the primary research conference and the training courses in the area of cellular models of the human brain. -
Chirag Patel, MD, PhD
Member, Cardiovascular Institute
Current Research and Scholarly InterestsNeuro-oncology, Clinical Trials, Tumor Treating Fields (TTFields), Molecular/PET Imaging, Neuroimaging, Immunotherapy, Big Data Analysis
-
Michele Lanpher Patel
Instructor, Medicine - Stanford Prevention Research Center
BioMichele L. Patel, PhD is an Instructor in the Stanford Prevention Research Center at the Stanford University School of Medicine. Trained as a clinical health psychologist, Dr. Patel conducts research to optimize scalable digital health interventions for adults with obesity. She leads clinical trials that test innovative strategies to address the critical challenge of suboptimal engagement in digital interventions.
Dr. Patel's research is supported by an NIH career development award (K23; 2022-2027). Her recent Spark trial investigated the most potent combination of self-monitoring strategies in a behavioral weight loss intervention among 176 adults with overweight or obesity. Results are expected to be published in 2026.
She is also testing other strategies to promote engagement, weight loss, and health. This includes the impact of easier vs. harder goals, and the effect of high-frequency, low-friction behavioral strategies. Her work leverages the Multiphase Optimization Strategy (MOST) to systematically identify intervention strategies that maximize effectiveness while minimizing patient burden.
Dr. Patel received her PhD in clinical psychology from Duke University. She completed her clinical internship at the VA Palo Alto with a specialization in behavioral medicine, followed by a postdoctoral fellowship (T32) at the Stanford Prevention Research Center. She currently serves as the Chair of the Optimization of Behavioral and Biobehavioral Interventions special interest group in the Society of Behavioral Medicine.
Primary Research Interests:
-- Optimizing digital interventions for obesity treatment and prevention
-- Leveraging behavioral science to create lower-burden self-monitoring strategies to improve engagement and outcomes
-- Identifying psychosocial factors (including health literacy and self-efficacy) that influence treatment success
Methodological Expertise:
-- Randomized clinical trials, including factorial designs and embedded trials
-- Systematic reviews
-- Signal detection analysis
