About

Gamaleldin Elsayed is a highly accomplished Research Scientist with over 5 years of experience in the field of computational neuroscience. He is currently working at Google, where he applies his expertise in neurobiology and behavior to develop innovative solutions to complex problems. Prior to his current role, Gamaleldin worked as a Brain Resident at Google, where he honed his skills in machine learning and artificial intelligence. He also served as a PhD student in computational neuroscience at Columbia University in the City of New York, where he conducted groundbreaking research on the neural mechanisms underlying decision-making. Gamaleldin's extensive educational background includes a Doctor of Philosophy (PhD) in Neurobiology and Behavior from Columbia University, as well as a Master of Science (MS) in Electrical and Systems Engineering from Washington University in St. Louis and a Master of Science (MS) in Electrical Engineering from King Abdullah University of Science and Technology. He also spent a semester as an exchange student at Rose-Hulman Institute of Technology and earned a Bachelor of Science (B.Sc.) in Electrical and Electronics Engineering from The American University in Cairo. In addition to his impressive academic credentials, Gamaleldin is highly skilled in a range of technologies and programming languages. He has a deep understanding of machine learning algorithms, neural networks, and data analysis techniques, and is proficient in Python, MATLAB, and C++. Overall, Gamaleldin is a talented and accomplished Research Scientist with a passion for exploring the intersection of neuroscience and artificial intelligence. He is committed to developing innovative solutions that leverage the latest advances in technology to solve complex problems and drive meaningful change.