Chris Kennedy is a postdoctoral research fellow in Gabriel Brat’s surgical informatics lab. Kennedy's primary two projects are 1) using deep learning-based computer vision to understand surgical videos, and 2) reducing opioid abuse with machine learning and causal inference. He holds a PhD in biostatistics from UC Berkeley, where he worked with Alan Hubbard and Mark van der Laan. His research interests include targeted causal inference (exposure mixtures, optimal individualized treatment regimes, variable importance), deep learning (NLP, computer vision, time series), machine learning, item response theory, experimental design, and survey methods.
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