School of Medicine


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  • Felix Janos Horvath

    Felix Janos Horvath

    Graduate, Medicine, Radiology

    BioI'm an Austrian medical student at Heidelberg University and, since March 2026, a Visiting Student Researcher. I work in the Department of Radiology at Stanford, where Prof. Heike Daldrup-Link supervises my doctoral work.

    We develop AI methods for pediatric whole-body PET/MRI. Segmentation models are trained almost entirely on adult scans, and children are not small adults, so anatomy that changes with age is where those models fail. We are also assembling a public pediatric PET/MRI dataset so other groups can test their methods. Pediatric medicine runs on a fraction of the evidence adult medicine has, because the cohorts are small and the studies are hard to run. That is the gap I want to work in, not least because the impact you can have here lasts a lifetime.

    My background is a technical one. At school in Graz I spent my free time building robots with a team that made it to the RoboCup World Championship in Sydney, and my thesis was on CRISPR/Cas9 as a tool against malaria. Both halves were there early. I went into medicine rather than engineering because I wanted work that happens between people and not only in front of a screen. Since starting med school, I finished the first written part of the German licensing examination in the top 1% nationwide.

    Outside the lab I spend most of my time playing sports. I started tennis when I was very young and later switched to volleyball. Recently I picked up triathlon and finished my first Ironman at the European Championships.

  • Machiko Hosoki

    Machiko Hosoki

    Clinical Assistant Professor, Developmental-Behavioral Pediatrics

    Current Research and Scholarly InterestsReading problem in bilingual children in elementary school

  • Belal Hossain

    Belal Hossain

    Postdoctoral Scholar, Immunology and Rheumatology

    BioI have a strong statistical background in analyzing and developing methods with observational and pragmatic clinical trial data. I also have experience in epidemiological and public health research, focusing on infectious and communicable diseases, non-communicable diseases, adult health, and maternal & child health research. My current research interests include biostatistics and epidemiology, with a particular focus on causal inference, machine learning, causal inference with machine learning, risk prediction modelling, causal mediation analysis, and complex surveys.

  • Shaikh Tanvir Hossain

    Shaikh Tanvir Hossain

    Affiliate, Medicine - Primary Care and Population Health

    BioTanvir is currently a postdoctoral scholar at the Geldsetzer Lab, led by Dr. Pascal Geldsetzer. He completed his doctoral studies at the Faculty of Business and Economics, TU Dortmund, Germany, under the supervision of Prof. Carsten Jentsch, and is currently working with the team to apply causal inference and econometric methods to dementia research. His research interests lie at the intersection of Causal Inference, Econometrics, and Machine Learning.

  • Hadi Hosseini

    Hadi Hosseini

    Associate Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)

    Current Research and Scholarly InterestsOur lab’s research portfolio crosses multiple disciplines including computational neuropsychiatry, cognitive neuroscience, multimodal neuroimaging and neurocognitive rehabilitation. Our computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in various neurodevelopmental and neurocognitive disorders using state of the art neuroimaging techniques (fMRI, sMRI, DWI, functional NIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses).

    The ultimate goal of our research is to translate the findings from computational neuropsychiatry research toward developing personalized interventions. We have been developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders.

  • Kristene Hossepian, Psy.D.

    Kristene Hossepian, Psy.D.

    Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development

    BioDr. Kristene Hossepian is a licensed clinical psychologist with expertise in anxiety, depression, eating disorders, parent management training, and stress. During her doctorate training at the PGSP-Stanford Psy.D. Consortium she received extensive training in a number of evidence-based treatment approaches for children and adolescents, such as Cognitive Behavioral Therapy, Dialectical Behavioral Therapy, and Acceptance and Commitment Therapy. She completed her pre-doctoral internship at Lucile Packard Children’s Hospital/Children’s Health Council where she worked with youth struggling with severe eating disorders, chronic medical conditions, trauma, depression, and anxiety. After receiving her doctorate in 2020, Dr. Hossepian completed her postdoctoral fellowship at the Stanford University School of Medicine, where she continued to receive training in evidence-based treatments for youth with a variety of presenting problems at the inpatient and outpatient level.

    Currently, Dr. Hossepian is a Clinical Assistant Professor within the Division of Child and Adolescent Psychiatry at the Stanford University School of Medicine. She works alongside Dr. Mary Sanders and Dr. Jennifer Derenne at the Comprehensive Care Program serving children and adolescents who are medically compromised due to complications with their eating disorders. Additionally, Dr. Hossepian works within Dr. Victoria Cosgrove’s Stress, Resilience, Emotion, and Mood (StREam) Laboratory to identify the ways that psychobiological stress responsivity is implicated in the emergence and propagation of affective symptomatology. Dr. Hossepian is interested in exploring the physiological mechanisms underlying mood disorders and eating disorders as well as providing children and adolescents with novel emotion regulation strategies.