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 and Public Health.
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.
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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 and Public Health.
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.