Shalmali Joshi
Scholar

Shalmali Joshi

Google Scholar ID: x5wW5WIAAAAJ
Columbia University
Artificial IntelligenceMachine LearningBiomedical SciencesClinical Informatics
Citations & Impact
All-time
Citations
3,183
 
H-index
18
 
i10-index
28
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Please see her Google Scholar page for an up-to-date list of publications.
Research Experience
  • Postdoctoral Fellow at Harvard University and the Vector Institute; Leads the reAIM lab; Current application areas span psychiatry, cardiology, radiology, rheumatology, and neurocritical care.
Education
  • PhD, Electrical and Computer Engineering, The University of Texas at Austin, 2018; MS, Electrical and Computer Engineering, University of California, San Diego, 2011; B. Tech., Electrical and Electronics Engineering, Visvesvaraya National Institute of Technology, 2009.
Background
  • Assistant Professor at Columbia University, Department of Biomedical Informatics; Member of the Data Science Institute; Affiliate at the SNF Center for Precision Psychiatry and Mental Health; Has connections in Computer Science. Research interests include: designing adaptive AI systems for health and medicine observational data; new capabilities for high-dimensional health and medicine data; new computational methods to improve robustness of scientific inference and predictions in health and medicine.
Miscellany
  • Pronunciation: Shaal–muh–lee; Contact information includes email (first name dot last name at columbia dot edu), office address, and Twitter account (@shalmali_joshi_).