M Pacer is a Jupyter core developer at the Berkeley Institute for Data Science (BIDS) focusing on the intersection between Jupyter and scientific publishing (with an eye toward constructing a total scientific record that is more amenable to machine learning techniques). M holds a PhD from UC Berkeley, where his research used machine learning and human experiments to study casual explanation and causal inference, and a BS from Yale University.
Jess Hamrick is a PhD candidate at UC Berkeley. Her research studies how people use imagination to solve problems and reason about the world and how to apply those ideas to machine learning and artificial intelligence. Jess is a member of the Jupyter Steering Council and is the lead maintainer of nbgrader, an open source tool for creating and grading assignments in the Jupyter Notebook. She holds a BS and an MEng in computer science from MIT.
Damián Avila is a senior software developer at Anaconda Powered by Continuum Analytics. A software developer, data scientist, quantitative analyst, and developer focusing on data science, finance, data visualization, and the Jupyter ecosystem, Damián has made meaningful contribution to several open source projects and has been a core developer to Jupyter, Nikola, and Bokeh. He is the creator of RISE, a “live” slideshow machinery for the Jupyter Notebook. Previously, he was a biochemist-immunologist. Damián has presented talks, tutorials, and posters at a number of national and international conferences and led tutorials on the scientific Python ecosystem. He’s a member of the Jupyter Steering Council, Python Argentina, Scientific Python Argentina, and the Quantitative Finance Club.
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