Consultations in creating robust experimental designs, measurement, and analytics, especially in generalized linear models; questions accepted about R, Python, mongoDB, web APIs, meta-analyses, and natural language processing. If you would like to request a meeting with Dillon, please include your field, a basic description of your goals and sticking points, and your favorite Game of Thrones character.
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Dillon Niederhut was research associate of the D-Lab services team, where he led development of the python and R curricula, and provides programming support for data collection and analysis. He received a PhD in the anthropology department in spring 2016, where he used high field MRI to study brain evolution, tract-based statistics to study human development, and natural language processing to study emergence and diversification. Prior to working for the D-Lab, Dillon led the community outreach efforts of Berkeley's Graduate Assembly.
Trainings
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