Dr. Anish Mukherjee

Biography

Anish Mukherjee is a statistician specializing in the development of statistical methodologies for complex biomedical data. He is currently a Postdoctoral Research Assistant in the Faculty of Economics at the Università della Svizzera italiana in Lugano, Switzerland, working under the mentorship of Professor Antonietta Mira. He earned his Ph.D. in Biostatistics from the University of Louisville, where he was supervised by Jeremy Gaskins. His research spans areas such as longitudinal modeling, statistical genomics, and stochastic systems, with a particular focus on Bayesian approaches to analyzing high-dimensional dependent data. Anish's methodological contributions include developing models for zero-inflated correlated count data and frameworks for identifying heterogeneity in outliers in longitudinal outcomes. He has also worked on Bayesian models for temporal microbiome data related to neurological treatments, as well as nonparametric Bayesian methods based on stochastic differential equations to study infectious disease transmission and gene regulation. He has collaborated on application-focused projects in public health, including research on maternal health disparities, wastewater-based epidemiology for SARS-CoV-2 surveillance, and the relationship between air pollution exposure and COVID-19 outcomes. Anish is committed to bridging methodological innovation with public health applications to advance statistical tools that improve understanding of health processes and inform clinical, epidemiological, and policy-oriented research.

Research Interests

Experience