Daniel Hill

Daniel Hill is an accomplished researcher and data scientist with extensive experience in neuroscience and machine learning. From April 2018 to March 2023, Daniel served as a Senior Applied Scientist at A9.com, following a tenure as a Senior Data Scientist at Integral Ad Science, focusing on causal modeling of digital ad campaign performance. Academic credentials include a Ph.D. in Computational Neuroscience and an MS in Electrical Engineering from the University of California, San Diego. Additionally, Daniel has held roles such as Machine Learning Scientist at Amazon.com and currently serves as a Research Scientist at Meta, developing deep learning solutions for EMG-based neural interfaces. Collaborative research with Nobel Laureate Bert Sakmann and contributions to open-source projects further highlight Daniel's expertise in the field.