School of Medicine
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Pritam Mukherjee
Postdoctoral Research Fellow, Biomedical Informatics
Bio I received my B. Tech(Hons) with a major in Electronics and Electrical Communication Engineering and a minor in Computer Science and Engineering from Indian Institute of Technology (IIT), Kharagpur in 2010. In 2016, I obtained a Ph.D in Electrical and Computer Engineering at the University of Maryland, College Park under the guidance of Prof. Sennur Ulukus. From January to December 2017, I was a postdoctoral researcher in the Electrical Engineering department at Stanford University with Prof. Tsachy Weissman and Prof. Ayfer Ozgur. From January 2018, I joined the Gevaertlab at BMIR in the Stanford School of Medicine where I am currently pursuing research into the application of machine learning and deep learning to uncover the interplay between biomedical imaging and genomics, as they relate to cancer research.
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Behzad Naderalvojoud
Postdoctoral Research Fellow, Biomedical Informatics
Bio Behzad Naderalvojoud is a Postdoctoral Research Fellow at Stanford Center for Biomedical Informatics Research. He received his Ph.D. degree in Computer Science at Hacettepe University, Turkey, in 2020. He is immersed in the fields of machine learning, deep learning, natural language understanding, and Big data analytics and works on health knowledge discovery platforms that transfer Big Health data from volume-based to value-based by generating relational knowledge leading to innovative treatments, predictive therapeutic outcomes, and early diagnosis. He was the leader of many industrial AI projects in the fields of healthcare intelligence and information management in the Eureka cluster programs.
Dr. Naderalvojoud has published several papers in the field of natural language understanding by working on word sense disambiguation, sentiment analysis, neural word embeddings, and deep learning models through national and international projects.
He is currently working on the funded NLM grant project "Advancing Knowledge Discovery for Postoperative Pain Management" under the supervision of Dr. Tina Hernandez-Boussard. He develops descriptive, predictive, and analytical tools using OMOP CDM for postoperative pain research to facilitate timely generation of evidence across multiple populations and settings. -
Nilotpal Sanyal
Postdoctoral Research Fellow, Biomedical Informatics
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.
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