My research focuses on artificial general intelligence. If you are interested in working together in my group on AGI then please send me an email about your background and research interests.
Associate Professor (tenure track), Department of Computer Science and Engineering, Yeshiva University and visiting Stanford University
Associate Professor of practice, Department of Computer Science, Boston University
Artificial General Intelligence (AGI)
Computer Vision
Machine Learning for Education
Machine Learning for Climate Science
Diverse inference and verification by multiple models and methods significantly improves accuracy and generalization of reasoning LLMs on mathematical and coding tasks, IMO combinatorics, ARC puzzles, and HLE questions.
Learn MoreNeural networks that solve, explain, and generate university math problems by program synthesis and few-shot learning at human level.
Published in PNAS and featured by MIT news.
Learn MoreMachine learning for predicting Atlantic multi-decadal variability; and computer vision methods for tracking turbulent structures in plasma of fusion reactors.
Best paper award at NeurIPS CCAI; Published in Nature Scientific Reports and featured by MIT news.
Learn More2025
Submitted, 2025
Submitted, 2025
2025
Submitted, 2025
Towards the Habitable Worlds Observatory: Visionary Science and Transformational Technology, 2025
Submitted, 2025
IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2025
Cambridge University Press, 2022
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