मनीष कृष्ण लाल

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I am an applied mathematician.

My work focuses on nonconvex geometric optimization models for learning, reasoning, sampling, and inference, particularly through projection methods.

More broadly, I work at the intersection of AI and domains such as operations research, safety, education, and the social sciences.

selected publications

  1. Real roots of real cubics and optimization
    Heinz H. Bauschke, Manish Krishan Lal, and Xianfu Wang
    Journal of Convex Analysis, 2025
  2. Learning with boolean threshold functions
    Veit Elser and Manish Krishan Lal
    2026