Shalmali Joshi
Assistant Professor at Columbia University
New York, New York, United States
Summary
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Senior🎓
Top SchoolShalmali Joshi is an Assistant Professor at Columbia University leading the reAIM lab, where she develops AI and ML methods to improve scientific inference and predictive performance in biomedical informatics. With 11 years of experience spanning industry (Lab126) to top research centers (Harvard, Vector Institute), she focuses on generalizability, reliability, and robustness across deep learning, reinforcement learning, causal inference, and probabilistic modeling. Her work bridges theory and practice to tackle translational problems in precision psychiatry and mental health, supported by affiliations with Columbia’s Data Science Institute and Computer Science department. Trained with a PhD in Electrical and Computer Engineering from UT Austin and an MS from UC San Diego, she brings a strong engineering pedigree to data-driven healthcare. Notably, she blends production software experience with rigorous postdoctoral research, enabling methods that are both scientifically principled and deployment-aware. Based in New York, she pursues interdisciplinary collaborations that push ML toward more trustworthy biomedical applications.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning, Data Mining, Data Science, Doctor of Philosophy (PhD), Machine Learning, Data Mining, Data Science at The University of Texas at AustinUniversity of California San DiegoB.Tech, Electrical and Electronics Engineering, B.Tech, Electrical and Electronics Engineering at Visvesvaraya National Institute of Technology
Github Skills (2)
icu7
database4
Programming languages (2)
Github contributions (5)
shalmalijoshi/shalmalijoshi.github.io
Aug 2017 - Feb 2023
Contributions:175 pushes, 1 branch in 5 years 7 months
shalmalijoshi/reAIM
Mar 2023 - Feb 2024
Contributions:20 pushes in 11 months
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