Lead Coordinator - Mexico | MIT Brain and Cognitive Sciences
Omar is currently a postdoctoral fellow at the Miller lab. His lab is affiliated to the Picower Institute for Learning and Memory and the Brain + Cognitive Sciences department at the Massachusetts Institute of Technology (MIT). His research interest lies in developing machine learning models from large-scale neural recordings to gain insight into the underling mechanisms of cognition and memory. He aims to develop new approaches to study neural dynamics with state-of-the-art machine learning methodologies such as deep learning and unsupervised learning. Before joining MIT, Omar have worked on machine learning research in the context of security, healthcare, indoor positioning, and cancer research. Omar also worked at the Alan Turing Institute (National institute of data science in the UK) – Data Study groups that bringing together some of the UK’s top talent from data science, artificial intelligence, and wider fields, to analyze real-world data science challenges. Omar obtained his Ph.D. at the University of Manchester where he focused his doctoral thesis in machine learning for gait analysis understanding in the context of security and healthcare.