School of Medicine


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  • Sandra Natalie Gomez

    Sandra Natalie Gomez

    Postdoctoral Scholar, Psychiatry

    BioDr. Sandra N. Gomez is a proud Chicana psychologist. She earned her B.A. in Psychology from Cornell College and her M.Ed. in Counseling Psychology from the University of Missouri–Columbia. She earned her doctorate in Counseling Psychology (Spanish bilingual concentration) from Columbia University, and completed her APA-accredited internship at the University of Miami’s Counseling Center. Currently, she is a postdoctoral clinical psychology fellow in the Department of Psychiatry and Behavioral Sciences at Stanford University, where her clinical and research work bridges her interests in identity development, acculturation, and community healing. At Stanford, she works with high-performance athletes, Latine communities, and families and couples, work that allows her to integrate her commitment to culturally responsive evidence-based practices with her scholarly focus on acculturation, ethnic identity, and the educational and career trajectories of individuals. Rooted in social justice and collective healing, Dr. Gomez also explores the healing potential of movement as a way to deepen connection to self and community. Dr. Gomez is a former APA Interdisciplinary Minority Fellow and Kellogg Legacy Doctoral Mentoring Scholar. She currently serves on the Leadership Council of the National Latinx Psychological Association as the Current Student Representative and is a student reviewer for the Journal of Latinx Psychology.

  • Juan Sebastián Gómez-Cañón

    Juan Sebastián Gómez-Cañón

    Postdoctoral Scholar, Psychiatry

    BioJuan S. Gómez-Cañón is a researcher, engineer and musician from Colombia. He holds a Ph.D. in Information and Communication Technologies from the Universitat Pompeu Fabra (Barcelona, Spain). During his Ph.D., Juan researched human-centered and trustworthy machine learning methods to predict the emotions in music. His research focuses on deep learning, human-centered ML, personalization, dataset curation, and digital signal processing. Juan also holds a M.Sc. in Media Technology (Technische Universität Ilmenau, Germany), a B.Sc. in Electronics Engineering and a B.A. in Music (Universidad de los Andes, Colombia).

  • Varun Goyal, PhD

    Varun Goyal, PhD

    Postdoctoral Scholar, Otolaryngology - Head & Neck Surgery

    BioDr. Varun Goyal is a Postdoctoral Scholar in Otolaryngology at Stanford University, applying his expertise in nonlinear systems, biomechanics, acoustics, and vibrations to advance the understanding of hearing. He earned his Ph.D. in Mechanical Engineering from the University of Michigan, where he worked at the intersection of mechanics and biological systems to develop computational frameworks for mechanosensory transduction in mammalian ears, with a particular focus on inner-ear hair bundles.

    His background spans structural and fluid dynamics, finite element analysis, and control systems, with a strong emphasis on applying these techniques to problems in ear physiology. Dr. Goyal also conducted research at the Center for Nondestructive Evaluation (CNDE) during his bachelor's and master’s studies at IIT Madras, where he designed multifunctional acoustic waveguides for ultrasonic energy transmission and temperature sensing.

    He has led and contributed to high-impact R&D projects across leading academic institutions, including RWTH Aachen University in Germany, Nanyang Technological University in Singapore, and Nagaoka University of Technology in Japan, as well as industry partners such as Mondelez International and Plasma Giken Co., Ltd. in Japan. Driven by curiosity and a commitment to understanding how complex systems operate, Dr. Goyal's work integrates theory, computation, and experiment to address fundamental questions in auditory biomechanics.

  • François Grolleau

    François Grolleau

    Postdoctoral Scholar, Biomedical Informatics

    BioFrançois Grolleau MD, MPH, PhD is a Postdoctoral Scholar at the Stanford Center for Biomedical Informatics Research. His research work centers on developing and evaluating computational systems that use large language models and other advanced methods from statistics and machine learning to assist medical decision-making.

    François is a certified Anesthesiologist and Critical Care Medicine specialist from France. He holds an MPH degree and a PhD in Biostatistics from Paris Cité University. In 2016/2017, he worked as a research fellow in the Department of Health Research Methods, Evidence, and Impact at McMaster University, Canada (Profs Yannick Le Manach and Gordon Guyatt). During his doctorate with Prof. Raphaël Porcher, he utilized causal inference, personalized medicine methods, and statistical reinforcement learning for medical applications in the ICU.