
Vishal Midya, PhD
About Me
Vishal Midya, PhD, MStat, is a biostatistician and environmental epidemiologist at the Icahn School of Medicine at Mount Sinai. He is an assistant professor in the Division of Biostatistics of the Department of Environmental Medicine.
Dr. Midya studies the effect of environmental chemicals on gut microbial exposomics and human health. He borrows tools from the machine learning literature and incorporates them in epidemiological studies to decipher how the interactions between chemicals and human biological systems lead to adverse disease outcomes.
He received his PhD from the Division of Biostatistics and Bioinformatics at the Pennsylvania State University, where he studied Frequentist and Bayesian hypothesis testing with a focus on meaningful effect sizes to enhance reproducibility in scientific studies. Before joining Penn State, He completed a Bachelor of Science in Statistics from St. Xavier’s College, Kolkata, India, and a Master’s in Statistics from Indian Statistical Institute.
Language
English
Position
ASSISTANT PROFESSOR | Environmental Medicine
Awards
2022 Lilienfeld Postdoctoral Prize Paper Award Finalist by Society for Epidemiologic Research
Graduate Alumni Society Award - 2019 & 2018 by Penn State College of Medicine, Pennsylvania State University
Ranked 3rd worldwide in Kaggle BigData Cup Challenge 2019: Solar Flare Prediction
Publications
Selected Publications
- Pre- and postnatal trace element levels in primary teeth of children with and without an autism spectrum diagnosis. Synnøve Stokke Jensen, Vishal Midya, Manish Arora, Ragnhild Eek Brandlistuen, Alexandra Havdahl, Gro Dehli Andersen, Kristin S. Klock. Environmental Research
- Retrospective cohort study protocol to determine prenatal and infant lead exposure using novel dentition analysis in Flint, Michigan: Flint Tooth FAIRY (Flint assessment of in-utero and at-risk young). Danielle Land, Mallory Goldsworthy, Mona Hanna, Manish Arora, Vishal Midya. BMJ Open
- Neuroprogramming of prenatal phthalate exposures on fluid cognition: A latent variable modeling approach to quantify exposure burden and integrate neurobehavioral data. Jamil M. Lane, Nathan Cohen, Vishal Midya, Cecilia S. Alcala, Shoshannah Eggers, Sandra Martinez-Medina, Damaskini Valvi, Martha M. Téllez-Rojo, Deborah A. Cory-Slechta, Robert O. Wright, Shelley H. Liu. Neurotoxicology and Teratology