Stanford University
Showing 11,051-11,100 of 34,464 Results
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Hyowon Gweon
Associate Professor of Psychology
BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.
Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. Honors and awards include: Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019) from Stanford; CDS Steve Reznick Early Career Award (2022), APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010). -
Laura Gwilliams
Assistant Professor of Psychology and, by courtesy, of Linguistics
BioLaura Gwilliams is jointly appointed between Stanford Psychology, Wu Tsai Neurosciences Institute and Stanford Data Science. Her work is focused on understanding the neural representations and operations that give rise to speech comprehension in the human brain. To do so, she brings together insight from neuroscience, linguistics and machine learning, and takes advantage of recording techniques that operate at distinct spatial scales (MEG, ECoG and Neuropixels).
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Emily Gwynn
Program Coordinator, Energy Science & Engineering
Current Role at StanfordProgram Coordinator, Energy Science & Engineering, Doerr School of Sustainability
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Mohammad H. Javaheri
Doctor of Musical Arts Student, Musical Arts
Current Research and Scholarly InterestsCoexistence of Animate and Inanimate Within a Shared Sound Space
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Dalena Ha
Affiliate, Department Funds
BioDalena Ha, DMD, MPH, MS is a dental provider with a strong commitment to community service, public health, and advancing access to equitable care. She is a National Health Service Corps (NHSC) Scholar and holds degrees in Dental Medicine and Public Health from A.T. Still University, as well as a Master of Science in Biotechnology from Johns Hopkins University, where she concentrated on regenerative medicine and stem cell technologies.
During dental school, Dalena co-authored “The Current Applications and Efficacy of Stem Cells in Dentistry” published in EC Dental Science (2023), reflecting her interest in translational research and the future of regenerative therapies in dental care. Her academic work is rooted in a commitment to evidence-based practice and the integration of innovation into clinical decision-making.
She is the founder of the Remembering My Roots Charity Group, established in 2018 to serve underserved communities through local and international outreach. Her participation in the Good Samaritan Medical and Dental Mission further highlights her dedication to global health equity. Dalena also served as President of the ASDOH chapter of the American Dental Education Association (ADEA) and as a national board member on ADEA’s Council of Students, Residents, and Fellows, helping to shape student engagement and professional development in dental education. -
David Ross Ha
Lecturer, Medicine - Med/Infectious Diseases
BioDr. David Ha, PharmD is Lecturer with the Stanford University School of Medicine Division of Infectious Diseases and Geographic Medicine and Manager of Antimicrobial Stewardship at Stanford Health Care in Stanford, California. Dr. Ha's professional interests include mentorship of trainees, antimicrobial stewardship, and quality improvement.
Publications: https://www.ncbi.nlm.nih.gov/myncbi/david.ha.3/bibliography/public/ -
Jiyoun Ha
Masters Student in Computer Science, admitted Autumn 2026
BioMachine Learning Engineer @ Google. Currently focusing on efficient model training and inference.
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Kirstin Haag
Teaching Excellence Program Designer, Teaching and Learning Hub
Current Role at StanfordTeaching Excellence Program Designer, Teaching and Learning Hub, Stanford Graduate School of Business
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Richard Haarburger
Postdoctoral Scholar, General Internal Medicine
BioRichard Haarburger is a postdoctoral scholar in the Department of Medicine (Primary Care and Population Health) at Stanford University, working in the lab of Pascal Geldsetzer. He studies questions at the intersection of epidemiology, health policy, and applied econometrics, with a focus on causal inference in large real-world health datasets.
His current work uses quasi-experimental and survival analysis methods to evaluate how preventive interventions (e.g. herpes zoster vaccinations) affect neurological outcomes such as dementia incidence at the population level. He also develops empirical strategies for dealing with challenges common in observational health data, including treatment effect heterogeneity, incomplete outcome follow-up, and competing risks.
Richard’s broader research interests include impact evaluation methods, causal machine learning, and the health and economic consequences of new technologies. During his PhD in quantitative economics, he worked on measurement bias in health surveys, high-dimensional forecasting, and heterogeneity in technology adoption. -
Beth Habelow
Lecturer, Surgery - Anatomy
BioPhysical therapist, lecturer
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Nicholas Haber
Assistant Professor of Education
Current Research and Scholarly InterestsI use AI models of of exploratory and social learning in order to better understand early human learning and development, and conversely, I use our understanding of early human learning to make robust AI models that learn in exploratory and social ways. Based on this, I develop AI-powered learning tools for children, geared in particular towards the education of those with developmental issues such as the Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder, in the mold of my work on the Autism Glass Project. My formal graduate training in pure mathematics involved extending partial differential equation theory in cases involving the propagation of waves through complex media such as the space around a black hole. Since then, I have transitioned to the use of machine learning in developing both learning tools for children with developmental disorders and AI and cognitive models of learning.
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Stephen Haber
A.A. and Jeanne Welch Milligan Professor, Senior Fellow at the Hoover Institution and at the Stanford Institute for Economic Policy Research, Professor of History and, by courtesy, of Economics
BioStephen Haber is the A.A. and Jeanne Welch Milligan Professor in the School of Humanities and Sciences at Stanford University, the Peter and Helen Bing Senior Fellow at the Hoover Institution, and senior fellow at the Stanford Institute for Economic Policy Research. In addition, he is a professor of political science, professor of history, and professor of economics (by courtesy).
Haber has spent his career investigating why the world distribution of income so uneven. His papers have been published in economics, history, political science, and law journals.
He is the author of five books and the editor of six more. Haber’s most recent books include Fragile by Design with Charles Calomiris (Princeton University Press), which examines how governments and industry incumbents often craft banking regulatory policies in ways that stifle competition and increase systemic risk. The Battle Over Patents (Oxford University Press), a volume edited with Naomi Lamoreaux, documents the development of US-style patent systems and the political fights that have shaped them.
His latest project focuses on a long-standing puzzle in the social sciences: why are prosperous democracies not randomly distributed across the planet, but rather, are geographically clustered? Haber and his coauthors answer this question by using geospatial tools to simulate the ecological conditions that shaped pre-industrial food production and trade. They then employ machine learning methods to elucidate the relationship between ecological conditions and the levels of economic development that emerged across the globe over the past three centuries.
Haber holds a Ph.D. in history from UCLA and has been on the Stanford faculty since 1987.
From 1995 to 1998, he served as associate dean for the social sciences and director of Graduate Studies of Stanford’s School of Humanities and Sciences. He is among Stanford’s most distinguished teachers, having been awarded every teaching prize Stanford has to offer. -
Lynette Renae Haberman
Program Manager, Student Programs and Training, Sarafan ChEM-H
Current Role at StanfordProgram Manager, Student Programs and Training
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Pardes Habib
Instructor, Neurosurgery
BioPardes Habib, MD/PhD, is an Instructor in the Department of Neurosurgery at Stanford University School of Medicine. His research focuses on how human neural stem cells (hNSCs) drive brain repair after chronic stroke. By integrating state-of-the-art imaging (MRI/PET) with spatially resolved multi omics, he maps structural and molecular remodeling after stroke and aims to identify diagnostic and prognostic biomarkers that drive the development and refinement of precision, cell-based therapies.
Dr. Habib completed dual doctorates in Neurology/Neuroscience (MD/PhD) and Biochemistry (PhD) at RWTH Aachen University in Germany, where he later earned a Habilitation (Venia Legendi) in Experimental Neurology—an academic qualification comparable to an associate professorship.
As head of Aachen’s Translational Stroke Research Group, he investigated neuroprotective and neuroinflammatory pathways and illuminated the roles of inflammasome activation and the unfolded protein response in acute ischemic stroke.
Since joining Dr. Gary Steinberg’s laboratory at Stanford in 2022, Dr. Habib has focused on decoding the molecular crosstalk among hNSCs, immune cells, and host neural circuits. His long-term goal is to transform these insights into targeted interventions that restore function and quality of life for patients living with the aftermath of stroke.
