Chris Kennedy is an instructor in psychiatry at Harvard Medical School, and a researcher at Massachusetts General Hospital’s Center for Precision Psychiatry led by Jordan Smoller. Previously he was a postdoctoral fellow in Gabriel Brat’s surgical informatics lab, in the department of biomedical informatics. He has a PhD in biostatistics from UC Berkeley where he worked with Alan Hubbard and Mark van der Laan. He is a research affiliate at Beth Israel Deaconess Medical Center, UC Berkeley’s D-Lab, the Integrative Cancer Research Group, and Kaiser Permanente’s Division of Research.

Chris chaired TextXD: Text Analysis Across Domains in 2018 & 2019, the premier text-focused data science conference at UC Berkeley. He is co-author of the SuperLearner machine learning framework and varimpact R package. Chris is lead author on the hate speech measurement project, is an NIH T-32 biomedical big data trainee, and is a member of the UCSF NLP Meetup.

He provides consulting services in deep/machine learning, data science, & surveying. In 2018 he led data science for Gavin Newsom’s gubernatorial campaign and Katie Porter’s congressional campaign.

View Chris’s CV here.