School of Medicine
Showing 1-10 of 13 Results
-
Ishita Ghai
Postdoctoral Scholar, General Internal Medicine
BioIshita Ghai is a health policy researcher that applies causal inference methods to understand how health behaviors are shaped through individual and group factors in low-resource settings. She mainly studies these empirical questions in the context of randomized controlled trials, or through evaluations leveraging exogenous shocks using quasi-experimental techniques. She has managed several pilot and large randomized controlled trials across sub-Saharan Africa studying the short and long-term effects of health interventions on health outcomes for women, children, and people living with HIV/AIDS. At Stanford, she will advance work on medicine policy specifically focused on the effects of the shingles vaccine on dementia risk among older populations.
She completed her doctoral studies in policy analysis (economics concentration) at the RAND School of Public Policy, and holds an MBA from the University of California, Davis, an Ed.M. in international education policy from Harvard University, and a B.Tech in bioinformatics from VIT University. -
Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection). This work revealed molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is developing deep learning models to investigate aberrant splicing in cardiovascular disease.
-
Peter Daniel Goldie
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
Current Research and Scholarly InterestsI am broadly interested in health equity. My research uses an intersectional lens to study psychological health among LGBTQ+ people. I have research and clinical interests in PTSD and substance use.
