Cesar Echavarria, PhD, is an accomplished researcher and engineer specializing in neuroscience and machine learning. With a PhD from Harvard University and a BS from the Massachusetts Institute of Technology, Cesar has held various roles in notable institutions, including Massachusetts General Hospital and Harvard Medical School, where major contributions included decoding neural information and developing computational models. Currently serving as a Quantitative Scientist in Health Tech at Meta, Cesar's prior positions include senior roles at Synchron and significant contributions as a Neuro-Data Scientist at CatalystNeuro. Throughout the career, a strong emphasis has been placed on leveraging advanced algorithms, machine learning techniques, and data science solutions to enhance neurotechnology and drive impactful research in visual cognition and brain data analysis.
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