Friday, December 1 at the Michigan League

The Michigan Institute for Data Science hosted a forum featuring data science research from across the University of Michigan. Ten oral presentations and more than 70 posters featured research in the following areas:

Aerospace Engineering Biological Sciences Business and Marketing
Climate Research & Natural Disasters Communication Studies Computer Science
Data Science Education Data Science Methodology Data Security
Energy Research Engineering Research Healthcare Research
Law Learning Analytics Materials Science
Science and Society Social Science Transportation research

The Forum also includes:

  • a workshop on ‘How to Work with Industry’,
  • a presentation on data science infrastructure and services available (ARC,  CSCAR).

View Detailed Agenda

View Poster Information


Christopher J. Rozell, PhD
Associate Professor, Electrical and Computer Engineering, Georgia Institute of Technology

Title: Closing the Loop Between Mind and Machine: Building Algorithms to Interface with Brains at Multiple Scales

Recorded Talk

Abstract: New technologies are rapidly developing for interfacing with the brain across multiple scales including cells, circuits, networks and systems.  While there has been much discussion about the emerging “big data” problems that will arise from high-resolution measurement technologies, there are a number of other new data science challenges also emerging.  In particular, now more than ever, we have the ability and desire to build closed-loop systems that are a combination of biology and technology working together in real time for scientific discovery and clinical therapies.  Innovations in interfacing technology require parallel advances in algorithmic technology to determine what to do with these new tools to maximize their effectiveness.  These system require data science approaches that operate online, are designed for closed-loop processing in real-time, are robust to the reality of “small data” in many applications, and are fully informed about both the biology and modern neurotechnology being used at the interface.  In this talk we will survey recent examples of data science problems we are working on as we build closed-loop interfacing systems for the brain in health and disease.  These problems will span scales from single-cell electrophysiology up to novel brain-machine interfaces for controlling complex systems.MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.


Yang Chen, PhD
Assistant Professor of Statistics
College of Literature, Science, and the Arts

Rohail Syed, PhD Candidate
School of Information

Walter Mebane, PhD
Professor of Political Science and Statistics
College of Literature, Science, and the Arts

Matthew Shapiro, PhD
Lawrence R Klein Collegiate Professor of Economics
College of Literature, Science, and the Arts

Selin Merdan, PhD Candidate
Industrial and Operations Engineering
College of Engineering

Michael Elliott, PhD
Professor of Biostatistics
School of Public Health

Yanxin Pan, PhD Student
Design Science
College of Engineering

Michael Traugott, PhD
Professor, Communication Studies, Political Science
College of Literature, Science, and the Arts

Emily C. Hector, PhD Candidate
School of Public Health

Vyas Ramasubramani, PhD Student
Chemical Engineering
College of Engineering

Brian Athey, PhD
Michael Savageau Collegiate Professor & Chair, Department of Computational Medicine & Bioinformatics,
Professor of Psychiatry and Internal Medicine,
Co-Director, Michigan Institute for Data Science (MIDAS) 

Alfred Hero, PhD
John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science,
R. Jamison and Betty Williams Professor of Engineering ,
Co-Director, Michigan Institute for Data Science (MIDAS) 


Affiliate Program Sponsor:


Platinum Sponsors:

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Gold Sponsor: