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Mike Tamir

Chief ML Scientist & Head of Machine Learning/AI at SIG, Data Science Faculty UC Berkeley

Dr. Mike Tamir is a prominent figure in the field of data science, with a focus on deep learning, natural language processing (NLP), and distributed scalable machine learning.

He has a wealth of experience in developing and delivering data products for various applications such as text comprehension, image recognition, recommender systems, targeted advertising, forecasting, user understanding, and customer analytics.

Dr. Tamir is known for his role as a pioneer in creating training programs that cater to industry-specific machine learning and data science techniques.

His educational background includes a Bachelor of Arts in Philosophy with a concentration on Mathematical Logic and Philosophy of Physics, a Bachelor's degree in Mathematics, a Doctor of Philosophy specializing in modeling applications in General Relativity and Quantum Statistical Mechanics, a Master of Science focusing on Theoretical and Mathematical Physics with an emphasis on Relativity Theory and Quantum Field Theory, and a Master of Arts in Mathematics with a focus on Operator Algebras, Differential Geometry, and Statistics.

Throughout his career, Dr. Tamir has held key positions in various organizations, such as Chief ML Scientist and Head of Machine Learning/AI at Susquehanna International Group, LLP (SIG), Data Science Faculty at UC Berkeley, Lab Director at Phronesis ML Labs, Head of Data Science at Uber Advanced Technologies Group, Chief Science Officer at Galvanize Inc, Chief Data Scientist at Intertrust Technologies Corporation, Director of Data Sciences at MetaScale Data Science Lab, Principal Data Scientist at MetaScale Data Science Lab, and as a Faculty member at University of Pittsburgh and Mathematics Teaching Fellow at Columbia University.

Mike Tamir
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Location

San Francisco Bay Area