School of Medicine


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  • Robert Thibault

    Robert Thibault

    Postdoctoral Scholar, SCRDP/ Heart Disease Prevention

    BioDr. Thibault studies how to increase the rigour and reproducibility of scientific research. His work focuses on developing and evaluating solutions to shortcomings in the research ecosystem. He completed a PhD in cognitive neuroscience at McGill University in 2019. His doctoral work focused on brain imaging, including neurofeedback, placebos, and suggestion. This work is outlined in his book, Casting Light on The Dark Side of Brain Imaging, co-edited with Dr. Amir Raz. He then worked as a postdoctoral researcher at the University of Bristol University before joining the Meta-Research Innovation Center at Stanford University (METRICS) in 2021. His publications are available at https://scholar.google.ca/citations?user=zI1x2UYAAAAJ&hl=en&oi=ao

  • Diana Tordoff

    Diana Tordoff

    Postdoctoral Scholar, Nephrology

    BioDiana M. Tordoff, PhD, MPH is a postdoctoral scholar with The PRIDE Study (pridestudy.org) at the Stanford School of Medicine. She is an epidemiologist whose research focuses on LGBTQ+ health equity. Prior to joining The PRIDE Study, Diana was awarded an NIH Kirschstein National Research Service Fellowship for her doctoral dissertation, which examined the heterogeneity in HIV/STI prevalence, testing, and PrEP use among transgender and non-binary people and their partners in the US. Her interests include barriers and facilitators of healthcare access for LGBTQ+ communities, sexual and reproductive health, HIV/STI prevention, sexual orientation & gender identity (SOGI) measurement, phylogenetics and molecular epidemiology, and community-engaged research methods.

  • Nguyen K. Tran

    Nguyen K. Tran

    Postdoctoral Scholar, Nephrology

    BioNguyen K. Tran (he/him), PhD, MPH is a social epidemiologist and postdoctoral scholar with The PRIDE Study at Stanford University School of Medicine. In his current role, he applies his training epidemiology, data science, and causal inference to conduct and support community-engaged research that addresses the health priorities of queer and transgender communities, with the goal of advancing health equity for these populations. This work includes examining the validity of gender identity and sexual orientation question sets in population-based surveys, evaluating social and structural influences on mental health, and understanding the spatial pattern of infectious diseases (e.g., HIV and mpox).