About Me

I am an Assistant Professor at Columbia University, Department of Biomedical Informatics where I lead the reAIM lab. I am a member of the Data Science Institute, SNF Center for Precision Psychiatry and Mental Health, and affiliated with Computer Science. Before Columbia, I was a Postdoctoral Fellow at Harvard University and the Vector Institute. I completed my PhD in Electrical and Computer Engineering from the University of Texas at Austin. My vision is to design reliable AI and ML systems to improve clinical healthcare and inference capabilities in medicine research. I also focus on developing computational methods to quantify and mitigate algorithmic inequities using approaches that are more aligned with understanding broader health disparities. I develop methods that cut across deep learning, reinforcement learning, observational causal inference, and probabilistic modeling.

How to pronounce my name: Shaal–muh–lee.

Research Interests

• Adaptive AI systems that address systematic biases in health and medicine observational data
• New capabilities for high-dimensional health and medicine data
• New computational methods to quantify and mitigate inequities in health and medicine
• Our group’s current application areas are in clinical psychiatry, cardiology, radiology, and neurocritical care.

Find out more about our group’s research, and publications.

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

Publications

Please see my Google Scholar page for an up-to-date list of publications.

Contact

• Email: my first name dot my last name at columbia dot edu
• Office Address: PH-20, 402, 622 W 168th St, New York, NY-10027
• Twitter/X: @shalmali_joshi_

CV

CV as of Nov 17, 2024

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