Stanford University


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  • Emily Ferguson, PhD

    Emily Ferguson, PhD

    Postdoctoral Scholar, Psychiatry

    BioEmily Ferguson, Ph.D., is a postdoctoral academic researcher and clinician within Stanford University’s Autism and Developmental Disorders Research Program (https://med.stanford.edu/autism.html) within the Department of Psychiatry and Behavioral Sciences. She earned her doctoral degree in Clinical Psychology from the University of California Santa Barbara and completed her clinical internship at the University of California Los Angeles. Dr. Ferguson's research focuses on advancing understanding of mechanisms of challenging behaviors in autistic youth and adults to inform treatment development. Her work takes a comprehensive perspective, integrating methods from implementation science to improve the accessibility and quality of clinical care for underserved autistic populations, especially those with higher support needs (or "profound autism"). She is also interested in developing methods to improve self-regulation in individuals with profound autism to effectively manage self-injurious behaviors and aggression. Dr. Ferguson is currently supporting research in the Preschool Autism Lab (https://med.stanford.edu/autismcenter/pre-school-autism-lab-program.html), and exploring profiles of challenging behaviors with the Program for Psychometrics and Measurement-Based Care (https://med.stanford.edu/sppmc.html) in a diverse range of autistic and non-autistic youth to inform treatment approaches.

  • Yoshitaka Furuta

    Yoshitaka Furuta

    Postdoctoral Scholar, Psychiatry

    Current Research and Scholarly InterestsHuman brain organoids and neurodevelopmental disorders

  • 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).

  • John Lyon Havlik

    John Lyon Havlik

    Postdoctoral Medical Fellow, Psychiatry
    Resident in Psychiatry and Behavioral Sciences

    BioHello! I'm the inaugural Humanities and Social Medicine research track resident at Stanford University.

    Psychiatric and substance use disorders are usually caught only after substantial, sometimes irreparable, harm has already occurred. My work is about changing that: I build artificial intelligence models that identify people earlier, and I evaluate whether the systems that receive them, like health plans, treatment facilities, and now generative AI chatbots, are equipped to respond appropriately. I believe this kind of early intervention will one day be commonplace and prevent a great deal of human suffering.

    On the building side, I'm technical lead and first author on a supervised model that detects substance use disorders from EHR-like data, published in Nature Mental Health; related work uses multimodal data to flag who will go on to develop opioid use disorder and to predict imminent psychiatric emergency-department visits. I also co-authored a Nature Medicine paper on how to rigorously test the true capabilities of medical AI. I work across a wide range of deterministic and probabilistic methods, including the transformer architectures behind modern "chatbots." My work has been featured in 40+ peer-reviewed publications and featured in national news outlets.

    In production, spinout AI-enabled clinical workflow automation software I developed is in use at the U.S. Department of Veterans Affairs and here at Stanford. The aim of my work is to move advances in artificial intelligence out of publications and into the clinic.

    On the evaluating side, I serve as an expert reviewer of AI-in-medicine trials for the State of Utah's Office of Artificial Intelligence Policy, and I am a sought-after health-tech advisor for Silicon Valley's leading venture capital firms and companies. I write on psychiatric services and health policy, recently in JAMA Health Forum on private-equity residential treatment and JAMA Network Open on the economics of telemedicine "house calls". Alongside my research, I founded and lead Research Roundtable, a mentorship group whose undergraduates have published 10+ first-author papers. Before medicine, with Peggy Mason at UChicago, I found the human bystander effect in rats (Science Advances).

  • Hamed Honari

    Hamed Honari

    Postdoctoral Scholar, Psychiatry

    Current Research and Scholarly InterestsMachine Learning, Neuroimaging, Computer Vision,Deep Learning, Signal Processing