Bio


Nilotpal Sanyal completed his PhD in Statistics from University of Missouri, Columbia with dissertation titled 'Bayesian fMRI data analysis and Bayesian optimal design'. He worked in the Indian Statistical Institute, Kolkata for a year as visiting scientist following which he started his postdoctoral career in USA by joining Texas A&M University as a postdoctoral associate working on high-dimensional variable selection methods. Later, he joined the Radiology department at the University of California, San Diego as a postdoctoral scholar working on Genome wide association study (GWAS) analysis. Currently, he is a postdoctoral scholar in the Biomedical Informatics division under the Department of Medicine at the Stanford University. Presently, his research topics include gene by environment interaction analysis in case-control studies and screening strategies for lung cancer.

Professional Education


  • Master of Science, University Of Calcutta (2007)
  • Bachelor of Science, University Of Calcutta (2004)
  • Doctor of Philosophy, University of Missouri Columbia (2012)

Stanford Advisors