Aparajita Khan
Aparajita Khan
I am an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (BHU) Varanasi, India. I joined IIT (BHU) Varanasi in July 2025 after serving as an Assistant Professor at IIT Roorkee. Earlier, I worked as a Postdoctoral Scholar with the Departments of Neurosurgery and Medicine (Quantitative Sciences Unit) at Stanford University, where I continue to collaborate.
Research Overview
My research focuses on development of machine learning methods to identify and analyze patterns embedded in complex large-scale datasets from different areas of biomedical sciences spanning single-cell and spatial transcriptomics, multi-omics integration, and medical natural language processing. I particularly emphasize on methodological paradigms of multi-view learning, subspace clustering, multi-graph fusion, and manifold learning.
Postdoctoral work at Stanford University
Large Language Modelling of Radiology and Pathology Reports for Lung Cancer Phenotyping
Highlighted Projects
Large Language Modelling of Electronic Health Records for Smoking Data Abstraction
npj Digital Medicine
Integrative Multi-omics for Cancer Subtype Analysis
IEEE Transactions on Computational Biology and Bioinformatics
Get In Touch
Aparajita Khan
Assistant Professor, Department of Computer Science and Engineering
Indian Institute of Technology (BHU) Varanasi
Collaborator, Quantitative Sciences Unit, Department of Medicine
Stanford University School of Medicine
Emails: aparajita.cse@iitbhu.ac.in, aparjita@stanford.edu
Phone: +91-7384850465
Google Scholar GitHub
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