School of Humanities and Sciences

Showing 11-20 of 23 Results

  • Yunwei Chen

    Yunwei Chen

    Postdoctoral Scholar, Economics

    BioYunwei Chen is a Postdoctoral Scholar at Stanford University, affiliated with the Stanford Center on China's Economy and Institutions at the Freeman Spogli Institute for International Studies. She is also a Postdoctoral Fellow with the Stanford Impact Labs and a Global Health Postdoctoral Affiliate with the Stanford Center for Innovation in Global Health.

    Her academic training is in global health economics. Prior to joining Stanford, she earned a PhD in Health Policy and Management (Economics Track) from the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill in 2024.

    Her research explores innovative solutions for effective delivery of public health interventions in resource-limited settings through rigorous experimental and quasi-experimental designs. Her current research agenda is centered on integrating digital health technologies to develop comprehensive and tailored interventions for children and mothers living in resource-limited settings during crucial developmental stages, aiming for both effectiveness and scalability.

  • Zijiao Chen

    Zijiao Chen

    Postdoctoral Scholar, Psychology

  • Benjamin Kyle Chi

    Benjamin Kyle Chi

    Postdoctoral Scholar, Chemistry

  • Jennifer Chien

    Jennifer Chien

    Postdoctoral Scholar, Philosophy

    BioJennifer Chien earned a Ph.D. in Computer Science from the University of California, San Diego, and a bachelor's degree in Computer Science from Wellesley College. They were a recipient of the Graduate Fellowship for STEM Diversity. Jennifer is an interdisciplinary researcher focused on preserving user agency across AI/ML pipelines by linking technical decisions with their social consequences. Their work connects technical decisions with social and societal consequences to characterize, measure, and mitigate disparities in autonomy and support safer, more responsible AI. This includes exploring instrumental, cognitive and affective, and epistemic forms of agency. At UCSD, they served as President of Graduate Women in Computing, leading mentorship, outreach, and community-building initiatives and received the Doctoral Awards for Contributions to Diversity and to Service and Leadership, as well as the Xilinx Women in Technology University Grant. Jennifer is currently an Embedded Ethics Fellow in partnership with HAI and the Computer Science department.

  • Ani Chiti

    Ani Chiti

    Postdoctoral Scholar, Physics

    BioI am a Brinson Prize Fellow at Stanford University, primarily interested in the formation of the first stars and galaxies, the formation of heavy elements, the early Milky Way, and local dynamical tracers of dark matter. I observe and characterize nearby stars and galaxies that formed at early times to understand these topics, in an approach known as "Near-field cosmology" or "Galactic archaeology".

    Before joining Stanford, I was the inaugural Brinson Prize Fellow in Observational Astrophysics at the University of Chicago. I obtained a PhD in Physics from MIT in 2021, and received bachelor's degrees in Physics and Mathematics from Cornell University in 2014.

  • Heewon Cho

    Heewon Cho

    Postdoctoral Scholar, Chemistry

  • Junyi Chu

    Junyi Chu

    Postdoctoral Scholar, Psychology

  • Katie Clayton

    Katie Clayton

    Postdoctoral Scholar, Psychology

  • Adam Cook

    Adam Cook

    Postdoctoral Scholar, Chemistry

  • Suchetha Cooray

    Suchetha Cooray

    Postdoctoral Scholar, Physics

    BioSuchetha Cooray is a KIPAC Postdoctoral Fellow at Stanford University. His research operates at the intersection of observational data, galaxy formation physics, cosmological theory, and artificial intelligence.

    Suchetha is broadly interested in decoding the "cosmic ecosystems" that drive galaxy growth and evolution. His work seeks to reveal the complete lifecycle of galaxies—tracing their origins from density peaks of dark matter, through the complex interaction of their baryonic components, to their eventual cessation of star formation. Galaxy formation presents a profound computational challenge, as physical processes span at least 14 orders of magnitude, from the sub-parsec scales of black hole accretion disks to the vast web of cosmic large-scale structure.

    To navigate this complexity, Suchetha employs numerical simulations and machine learning to build statistically robust models of the Universe, connecting the first galaxies revealed by JWST to the mature populations of the present day. As the field enters a transformative decade for precision cosmology, his research focuses on maximizing the scientific insights from upcoming major surveys—including PFS, Euclid, Rubin LSST, SPHEREx, and Roman.

    Previously, Suchetha was a JSPS Postdoctoral Fellow at the National Astronomical Observatory of Japan and earned his doctorate at Nagoya University.