BIDS Spring 2016 Data Science Faire

Join us May 3 for our Spring 2016 Data Science Faire to close out BIDS' second academic year and celebrate data science at Berkeley.

We hear the word "data" almost every day on campus and in the news. But, did you ever wonder what UC Berkeley students, faculty, and researchers are doing with data and what interesting findings they have uncovered? At this year's Data Science Faire, we will showcase exciting data-intensive initiatives at BIDS and UC Berkeley, highlighting work from the diverse community of data scientists around campus. Learn more about the exciting open source projects BIDS affiliates are working on and catch up on the work of researchers at some of Berkeley’s top data science centers, including the National Energy Research Scientific Computer Center, Berkeley Research Computing, and more.



This year’s Data Science Faire will feature a wide variety of poster/demo exhibits from students and researchers on campus as well as a series of data science–related lightning talks from BIDS fellows. The event will culminate with keynote address from Lucas Merrill Brown, Data Scientist and Digital Expert at the US Digital Service at the White House.

1:30 p.m. Event Opens
1:50 p.m. Welcome/Intro - Saul Perlmutter and Kevin Koy
BIDS Director and Executive Director
2:10 p.m. Lightning Talk (5 min.) - Justin Kitzes
Postdoctoral Scholar, Energy and Resources Group; BIDS Data Science Fellow
Reproducible Ecological data analysis in python with the macroeco package
2:30 p.m. Lightning Talk (5 min.) - Fatma Imamoglu
Postdoctoral Researcher, Helen Wills Neuroscience Institute; Postdoctoral Researcher, Internal Computer Science Institute; BIDS Data Science Fellow
Semantic representation in the human brain during listening and reading
2:50 p.m. Lightning Talk (5 min.) - Garret Christensen
Research Fellow, Berkeley Initiative for Transparency in the Social Sciences; BIDS Data Science Fellow
Geographic food price variation and adequacy of snap benefits (i.e., food stamps)
3:10 p.m. Lightning Talk (5 min.) - Kellie Ottoboni
Graduate Student, Dept. of Statistics; BIDS Data Science Fellow
Student evaluations of teaching (mostly) Do NOt Measure teaching effectiveness
3:30 p.m. Lightning Talk (5 min.) - Zhao Zhang
Postdoctoral Researcher, Dept. of Electrical Engineering and Computer Science; BIDS Data Science Fellow
Kira: processing astronomy imagery using big data technology
3:50 p.m. Lightning Talk (5 min.) - Stéfan van der Walt
BIDS Computational Fellow
scikit-image: Seven Years of Learning
4:10 p.m. Keynote (20 min.) - Lucas Merrill Brown
Data Scientist and Digital Expert, US Digital Service, White House
Using Data science to serve the american people
The US Digital Service brings private sector tech expertise to help transform the way government works for the American people. Lucas will discuss how data science in particular has been put into service on some of the most pressing problems facing our country's citizens as well as how the same principles of data science can be used to tackle problems in academia, the startup sector, and at the White House. 

Our industry partners, Siemens and State Street, will also have booths set up at the faire to showcase their efforts in data science and discuss career opportunities at their organizations.



Lucas Merrill Brown

Data Scientist and Digital Expert, US Digital Service, White House
Lucas is currently a data scientist and "digital expert" at the US Digital Service at the White House. Formed in the aftermath of the launch, US Digital Service brings private sector tech expertise to help transform the way government works for the American people. As the first data scientist hired to join the headquarters team, Lucas primarily works with Medicare on rewarding clinicians for delivering quality of care rather than volume of care.  

Lucas was previously senior data scientist at RedOwl Analytics, where he designed and built statistical software for analyzing the massive digital trail created by large modern firms. RedOwl was named “Most Innovative Company” at the 30,000-person RSA Conference in 2014. 

Lucas served as a senior data scientist for President Obama’s re-election campaign in 2012, where he helped create an innovative web app used by senior staff to visualize and analyze the campaign’s most sensitive data, including all data on advertising, polling, and voter contact. 
He completed his doctorate in economics at Oxford University as a Rhodes Scholar.