Saloni Dash is a PhD candidate in Information Science at the University of Washington with nine years of research experience at the intersection of machine learning, explainability, fairness, and medical informatics. She has a sustained research relationship with Microsoft through roles as Visiting Scholar, Research Fellow, and Research Intern, and brings practical exposure to adversarial learning and computational social science from internships across top labs in Europe and the U.S. Her academic foundation blends a BE in Computer Science and an MSc (Hons.) in Mathematics from BITS Pilani, equipping her to bridge rigorous theory and applied ML. Saloni’s work emphasizes trustworthy AI for high-stakes domains, and she often explores less-obvious tradeoffs between model robustness and interpretability. Based in Seattle, she combines deep technical skills with collaborative industry experience to drive research that translates into responsible, real-world systems.
9 years of coding experience
Doctor of Philosophy - PhD, Information Science, Doctor of Philosophy - PhD, Information Science at University of Washington
BITS Pilani, Birla Institute of Technology and Science
Contributions:14 commits, 18 pushes, 1 branch in 1 year 5 months
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Saloni Dash - PhD Student at University of Washington