Lectures each day September 9-11, 2025 from 4-5 pm in East Hall 1360.
There will be a reception after the Tuesday Colloquium in the Math Upper Atrium.
Titles and abstracts TBD.
Dr. Lior Horesh is a Principal Research Scientist, Master Inventor and a Senior Manager of the Mathematics & Theoretical Computer Science (formerly Mathematics of AI) department at IBM Research. His department’s mission is to approach some of the big challenges the field of AI is facing, from a principled mathematical angle. This involves conceiving and bringing in state-of-the-art mathematical theories, algorithms and analysis tools, in hope of advancing fundamentally reasoning, generalizability, scalability, interpretability of AI.
Additionally, Dr. Horesh holds an adjunct Associate Professor position at the Computer Science department of Columbia University where he teaches graduate level Advanced Machine Learning and Quantum Computing courses. Dr. Horesh Received his Ph.D. in 2006 from UCL and joined IBM in 2009.
Dr. Horesh's research work focuses on algorithmic and theoretical aspects of tensor algebra, numerical analysis, simulation of complex systems, inverse problems, non-linear optimization, experimental design, machine learning, quantum computing and the interplay between deductive logic derivation (first-principles modelling) and inductive statistical AI in the context of symbolic scientific discovery.
Ziwet Lectures:
The Ziwet Lectures were established in 1934 through a bequest from Professor Ziwet, Chair of the UM Department of Mathematics from 1888-1925. He stipulated that his estate “should be used for the promotion of scientific work.” The Ziwet lectures have been one of the most prestigious lecture series in the department.
There will be a reception after the Tuesday Colloquium in the Math Upper Atrium.
Titles and abstracts TBD.
Dr. Lior Horesh is a Principal Research Scientist, Master Inventor and a Senior Manager of the Mathematics & Theoretical Computer Science (formerly Mathematics of AI) department at IBM Research. His department’s mission is to approach some of the big challenges the field of AI is facing, from a principled mathematical angle. This involves conceiving and bringing in state-of-the-art mathematical theories, algorithms and analysis tools, in hope of advancing fundamentally reasoning, generalizability, scalability, interpretability of AI.
Additionally, Dr. Horesh holds an adjunct Associate Professor position at the Computer Science department of Columbia University where he teaches graduate level Advanced Machine Learning and Quantum Computing courses. Dr. Horesh Received his Ph.D. in 2006 from UCL and joined IBM in 2009.
Dr. Horesh's research work focuses on algorithmic and theoretical aspects of tensor algebra, numerical analysis, simulation of complex systems, inverse problems, non-linear optimization, experimental design, machine learning, quantum computing and the interplay between deductive logic derivation (first-principles modelling) and inductive statistical AI in the context of symbolic scientific discovery.
Ziwet Lectures:
The Ziwet Lectures were established in 1934 through a bequest from Professor Ziwet, Chair of the UM Department of Mathematics from 1888-1925. He stipulated that his estate “should be used for the promotion of scientific work.” The Ziwet lectures have been one of the most prestigious lecture series in the department.
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