2020 speakers



I am a Professor in the Machine Learning Department (in the School of Computer Science) and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. I work on developing and using Machine Learning, AI, and Data Science methods for solving high impact social good and public policy problems in a fair and equitable way across criminal justice, education, healthcare, energy, transportation, economic development, workforce development and public safety. My work includes collaborative projects with government agencies and NGOs, research in areas including explainablitybias/fairness/equity, and developing and teaching educational and training programs.

I also started (at University of Chicago) and run the Data Science for Social Good Summer Fellowship (now at CMU).

Areas of Interest and Experience: Machine Learning/Data Science/Artificial Intelligence, Public Policy, Social Good, Ethics, Fairness, Social Justice and Equity

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

What I used to do:

  • Founder/Director of the Center for Data Science and Public Policy, Research Associate Professor in the Department of Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago.
  • 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, AI, Data Science, and Public Policy conferences and journals.

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