Ankit Anand
Ankit Anand
Staff Research Scientist, Google DeepMind
Staff Research Scientist, Google DeepMind
Adjunct Faculty, McGill University and MILA
Adjunct Faculty, McGill University and MILA
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Our paper on code as reward is accepted at ICML-2024 as spotlight
Our work on AI for Education: LearnLM was announced at Google I/O 2024, Tech report
New paper out on a dataset of Reasoning with Multiple Images
Our paper on learning from unlabeled demonstrations accepted at ICLR-2023 as spotlight
I am currently a Staff Research Scientist at Google DeepMind Montreal, an adjunct faculty member at McGill University and associate industry member at MILA. I am fortunate to be working with Prof. Doina Precup. My research interest lies at the intersection of logical methods, neural networks and reinforcement learning in general and particularly, applying AI and ML to make advances in Mathematics as well as AI for Education.
I am currently a Staff Research Scientist at Google DeepMind Montreal, an adjunct faculty member at McGill University and associate industry member at MILA. I am fortunate to be working with Prof. Doina Precup. My research interest lies at the intersection of logical methods, neural networks and reinforcement learning in general and particularly, applying AI and ML to make advances in Mathematics as well as AI for Education.
Previously, I completed my Ph.D at IIT Delhi working with Prof. Mausam and Prof. Parag Singla. During my Ph.D, I worked on making symmetry aware A.I algorithms in context of probabilistic graphical models and Monte Carlo Tree Search algorithms.
Previously, I completed my Ph.D at IIT Delhi working with Prof. Mausam and Prof. Parag Singla. During my Ph.D, I worked on making symmetry aware A.I algorithms in context of probabilistic graphical models and Monte Carlo Tree Search algorithms.
Email: ankit.s.anand AT gmail DOT com
Email: ankit.s.anand AT gmail DOT com
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