Aparajita Khan
Aparajita Khan
I am an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Roorkee, India. Prior to this, I was a Postdoctoral Scholar and I continue to collaborate with the Quantitative Sciences Unit, Department of Medicine at Stanford University.
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 Medicine
Single-cell transcriptomic analysis of tumor microenvironment and radiology natural language processing for lung cancer surveillance
Highlighted Projects
Radiology Natural Language Processing
AACR Precision Prevention, Early Detection, and Interception of Cancer
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 Roorkee
Collaborator, Quantitative Sciences Unit, Department of Medicine
Stanford University School of Medicine
Emails: aparajita.khan@cs.iitr.ac.in, aparjita@stanford.edu
Phone: +91-7384850465
Google Scholar GitHub
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