Ameer Haj Ali

Ameer Haj Ali is a Ph.D. candidate in the ADEPT Lab and RISE Lab at UC Berkeley, advised by Professors Ion Stoica and Krste Asanovic. His current research is focused on Compiling, Auto-Tuning, Code Optimization, Machine Learning, Reinforcement Learning, and hardware for machine learning. Ameer finished his M.Sc. studies (summa cum laude, the valedictorian) at the Technion in 2018, where he worked on using emerging memory technologies to enhance the performance of modern computer systems with Professor Shahar Kvatinsky and made multiple journal and conference publications. He also finished four years of undergraduate studies in computer engineering at the Technion in only three years, graduating summa cum laude and receiving the valedictorian honor. During Summer 2020, Ameer worked as a research scientist at Microsoft Research. During Summer 2019, Ameer worked as a research scientist at Intel Labs in the brain inspired computing lab. During his undergraduate studies, Ameer worked at Mellanox Technologies as a chip designer, focusing on creating design and automation tools that facilitated the formal and dynamic verification process. In his free time, Ameer works as a consultant at AnyScale, Inc, volunteers as a board member on the board of directors of American Technion Society (ATS), and promotes the underprivileged Arab minority in Israel.
http://ameerhajali.com/ |

Publications

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning

NeuroVectorizer: end-to-end vectorization with deep reinforcement learning

Blog Posts

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