About Me:

Research Expertise: Analytics, Data Mining, Machine Learning, Social Media Analytics, Text Analytics, Natural Language Processing, Social Networks.

Recently (and reluctantly) added buzzwords: Big Data, Data Science
Older buzzwords that are trendy now: Machine Learning
Not so old buzzwords that are not trendy now: Data Mining

I’m interested in using data and analytics for high impact social good problems in areas such as education, healthcare, energy, transportation, economic development, and public safety.

I am the Director of the Center for Data Science and Public Policy,  Research Director at the Computation Institute and a Senior Fellow at the Harris School of Public Policy at the University of Chicago.

What I used to do: Chief Scientist at Obama for America 2012 campaign focusing on analytics, technology, and data. Senior Research Scientist and Director of Analytics research at Accenture Labs where I led a technology research team focused on applied R&D in analytics, machine learning, and data mining for large-scale & emerging business problems in various industries including healthcare, retail & CPG, manufacturing, intelligence, and financial services.

In my ample free time, I advise several analytics start-ups and non-profits, speak at, organize and participate in academic and industry analytics conferences, and publish in machine learning and data mining conferences and journals.

[Longer CV]

Research Interests

Historically, my work has spanned from general machine learning and data mining to privacy preserving data mining, text mining, semi-supervised learning, active learning, information retrieval, NLP, and knowledge management. Most of my work has focused on developing and using machine learning & data mining approaches to solve large-scale problems in corporate, political, and non-profit areas.

My current interests lie at the intersection of Machine Learning/Data Mining, Public Policy, and Social Sciences. I’m interested in solving large-scale and high impact social problems using data driven and evidence based methods. A lot of government, civic, and non-profit organizations are realizing the value of better data and have been focusing on improving data collection and data standardization. My goal is to build on these efforts, and work with these organizations to use this data to help improve outcomes for them. I’m also interested in approaches that allow these organizations to efficiently measure the impact of such interventions and programs in order to do better resource allocation and focus on efforts that lead to better outcomes.