Schedule

Friday, November 6

6:30pm - 7:00pm

Snacks and Registration

7:00pm - 8:00pm

Opening remarks including an introduction to Jupyter by Brian Granger

Speaker Bio: Brian Granger is an Associate Professor of Physics and Data Science at Cal Poly State University in San Luis Obispo, CA. He is a leader of the IPython project, co-founder of Project Jupyter and is an active contributor to a number of other open source projects focused on data science in Python. He is a board member of the NumFOCUS Foundation and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.

8:00pm - 9:00pm

Break up into teams to set up systems and pick problems

9:00pm - 9:30pm

Wrap up with Snacks and Drinks


Saturday, November 7

9:30am - 10:00am

Breakfast and Registration

10:00am - 11:00am

Presentation: "Why is it so hard to get healthcare information that matters?" by Frederik Lindberg

Speaker Bio: Fred is a Director of Data Insights Engineering at Flatiron Health. His work focuses on making cancer care better by using medical record data to understand patterns of disease, treatment and outcomes, making this information available to all parts of the cancer care ecosystem.

As CTO of E-marketing company CheetahMail, Fred built technology and team from very early startup through rapid growth and acquisition by Experian. Before discovering Linux and Open Source, he was Assistant Professor of Medicine and Infectious Diseases at Washington University. Fred received his MD and PhD in molecular microbiology from Umea University in Sweden.

11:00am - 1:00pm

Work in teams

1:00pm - 1:30pm

Lunch and vote on charity

1:30pm - 2:30pm

Presentation: "Putting data to work: the next frontier of global health impact" by James H. Faghmous

Speaker Bio: James H. Faghmous is an Assistant Professor, and the co-founder and chief technology officer of the Arnhold Global Health Institute at the Icahn School of Medicine -- Mount Sinai. James' work bridges data science, engineering, population health, and design to create impactful and equitable global health care systems.

James received his Ph.D. in computer science from the University of Minnesota, where his thesis at the intersection of data mining and climate change received the "Outstanding Dissertation Award" in Science and Engineered. James graduated Magna Cum Laude in 2006 from the City of College of New York where he was a Rhodes and a Gates Scholar nominee.

2:30pm - 6:00pm

Work in teams

4:30pm - 5:15pm

Technical Presentation: Title "Manufacturing Intelligence into Healthcare: A Learning Problem" by Zoe Afshar

Speaker Bio: Zoe Afshar is the Director of Data Science and Engineering at Komodo Health. She has extended Apache Mahout and Apache Spark Machine Learning Libraries. She has built end-to-end learning systems in Finance and Advertising and excited about the move to Healthcare.

Somewhere between functional programming, designing large scale learning systems, and obsessing over Oxford shoes or the latest in distributed computing, she swims laps, and goes to live comedy shows.

6:00pm - 7:00pm

Sharing your results: Teams show off cool algorithms they used, plots they made, and results they found

7:00pm - 7:30pm

Lightning talks, snacks, and drinks