February 11th, 2021, 12:00 pm PT / Category: Interviews
How to democratize scalable data science, machine learning, and AI: Open Source meets the Enterprise!
Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant, in industry and basic research. He also has experience teaching data science at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He is committed to spreading data skills, access to data science tooling, and open source software, both for individuals and the enterprise.
Matthew Rocklin is an open source software developer in the numeric Python ecosystem. He maintains several PyData libraries, but today focuses mostly on Dask library for scalable computing. Matthew worked for Anaconda Inc for several years, then built out the Dask team at NVIDIA for RAPIDS, and most recently founded Coiled Computing to improve Python’s scalability with Dask for large organizations.
Matthew has given talks at a variety of technical, academic, and industry conferences. A list of talks and keynotes is available at matthewrocklin.com/talks. He holds a bachelor’s degree from UC Berkeley in physics and mathematics, and a PhD in computer science from the University of Chicago.
