Project Jupyter’s Steering Council member, JupyterHub and mybinder.org Core Developer, co-editor of The Journal of Open Source Education (JOSE) and co-authored an open source book, Teaching and Learning with Jupyter.
Kyle is the host of the Data Skeptic podcast, a weekly interview program covering topics related to data science, artificial intelligence, machine learning, statistics, and cloud computing. Data Skeptic celebrated its 5th birthday this year.
As principal architect at Data Skeptic Labs, he leads a team that builds bespoke machine learning and data solutions at scale in industries including aerospace, fraud prevention, retail, insurance, consumer packaged goods, and ad-tech. Kyle also serves as an advisor to several small and medium-sized companies. Data Skeptic Labs released its first official product (a chatbot platform) in 2019.
Milana (Rabkin) Lewis is the co-founder and CEO of Stem, a financial platform that simplifies payments for musicians and content creators.
Prior to founding Stem, Milana spent five years as a Digital Media Agent at the premier global talent and literary agency, United Talent Agency (UTA). She helped build UTA’s digital offerings by advising the agency’s individual and corporate clients on emerging distribution platforms, digitally-driven fundraising and monetization opportunities. Milana represented a roster of digital creators, ranging from top YouTube and Vine stars to prominent bloggers and social media personalities, and helped grow their social channels into sustainable and profitable careers. In addition to this work, Milana sourced investment opportunities for UTA’s then newly-formed venture capital division.
Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine (UCI). He is working on robustness and interpretability of machine learning algorithms, along with models that reason with text and structure for natural language processing. Sameer was a postdoctoral researcher at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs. His group has received funding from Allen Institute for AI, National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Adobe Research, and FICO.
We will be hosting development sprints on December 3rd from 1:30pm to end of day. RSVP by either purchasing a full-day tutorial pass or registering a free Sprinter pass here.
If you would like to be sprint host for an open-source project, please submit your project via this form.
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PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization.
We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.
For more information about the conference series, visit: