Demystifying Data Science w/ Erin Shellman, Trey Causey, Joel Grus, Claire Jaja
Details
Join us Thursday, January 19th at our official Grand Opening in Seattle, when we will hear from an esteemed panel of data scientists who will discuss and present on their varied and interesting paths into the profession. They will, collectively, "Demystify Data Science," providing insight into their personal journeys and current roles through a series of lightning talks followed by a moderated panel discussion.
You'll hear from Erin Shellman (https://www.linkedin.com/in/erinshellman/), Senior Data Scientist at Zymergen, Trey Causey (https://www.linkedin.com/in/treycausey/), Senior Product Manager at Socrata, Joel Grus (https://www.linkedin.com/in/joelgrus/), Research Engineer at Allen Institute for Artificial Intelligence, and Claire Jaja (https://www.linkedin.com/in/clairejaja/), Senior Data Scientist at Atlas Informatics.
Event Schedule:
6:30 - 6:45: Mingle, Eat, & Drink
6:45 - 7:00 Grand Opening & Opening Remarks
7:00 - 8:30: Presentations & Panel Discussion
PANELISTS:
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Erin Shellman
Sr. Data Scientist, Zymergen
Erin is a statistician, programmer, and senior data scientist at Zymergen, where she's done research and data science in a broad range of industries including retail, cloud computing, and biotechnology. Along the way, she built product recommendations, web scrapers, interactive visualizations, and analyzed terabytes of data. Erin is passionate about technology education and teaches data mining at the University of Washington’s school for Professional and Continuing Education and Python programming in an after-school Girls Who Code club. She also co-organizes the Seattle chapter of PyLadies, an international mentorship group for women who program in Python.
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Claire Jaja
Senior Data Scientist, Atlas Informatics
Claire is a Senior Data Scientist at Atlas Informatics, where she is focused on building context for users by connecting their data across platforms and devices, in order to provide a meaningful yet effortless experience that understands and anticipates their past, current, and future usage. She has a BA in Linguistics from the University of Maryland and a MS in Computational Linguistics from the University of Washington. Her past experience includes work on Arabic-English machine translation, dependency parsing for low-resource languages, and social media monitoring. While her primary focus is on extracting meaning from language using statistical methods and machine learning, she embraces the ever-expanding role of the data scientist, finding patterns across data of all types, providing quantitative business insights, and bringing theory to reality by writing production code.
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Trey Causey
Senior Product Manager at Socrata
Trey has worked at the intersection of data science and product for startups and large e-commerce companies alike, both designing and building the data science infrastructure that power products – as well as working with multiple teams to ensure these products are improving user experience and are aligned with the business’s strategy. He is adept at communicating technical concepts to non-technical audiences as a professional, as a former statistics instructor, and at meetups and conferences.
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Joel Grus
Research Engineer at Allen Institute for Artificial Intelligence
Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence, the author of "Data Science from Scratch", and co-host of the Adversarial Learning podcast. Previously he worked as a software engineer at Google and as data scientist at a variety of startups.
PyLadies Seattle (https://www.meetup.com/Seattle-PyLadies/) is a sponsor of this event – huge thanks to the group!
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Connect with us before the event! @thisismetis