crowdThe MIDAS Seminar Series features leading data scientists from around the world and across the U-M campuses addressing a variety of topics germane to the emerging field of data science. These thought leaders are invited from academia, industry and government. Our goal is to provide a forum for interactions on themes related to data science among the faculty, scientists, practitioners and students at and around the University of Michigan.

The forum consists of a (typically weekly) seminar where leaders in data science present their vision for the field and highlight new opportunities for collaboration.

For updates on seminars and general announcements related to MIDAS and the Advanced Research Computing (ARC) group at U-M, subscribe to the ARC/MIDAS newsletter. For more information on the series, please contact midas-contact@umich.edu.

MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.


Upcoming Seminars

January 27 @ 4:00 pm - 5:00 pm

Emily Mower Provost, PhD, University of Michigan – MIDAS Seminar Series

Emily Mower Provost, PhD Assistant Professor Computer Science Engineering University of Michigan   “Human-Centered Computing: Using Speech to Understand Behavior”   Bio: Emily Mower Provost is an Assistant Professor in…

February 3 @ 4:00 pm - 5:00 pm

Yao Xie, PhD, Georgia Institute of Technology – MIDAS Seminar Series

Yao Xie, PhD Georgia Institute of Technology Bio: Yao Xie is an assistant professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Her research interests are in sequential…

February 17 @ 4:00 pm - 5:00 pm

Carol Flannagan, PhD, University of Michigan – MIDAS Seminar Series

Carol A. C. Flannagan, PhD Research Associate Professor University of Michigan Transportation Research Institute University of Michigan Bio: Carol A. C. Flannagan is a research associate professor in UMTRI’s Biosciences Group, and…

February 24 @ 4:00 pm - 5:00 pm

Jose Perea, PhD, Michigan State University – MIDAS Seminar Series

  Jose Perea, PhD Assistant Professor Departments of Mathematics and Computational Mathematics, Science and Engineering Michigan State University Bio: My research focus lies at the intersection of algebraic topology, data analysis…

March 10 @ 4:00 pm - 5:00 pm

Rob Nowak, PhD, University of Wisconsin – MIDAS Seminar Series

  Robert Nowak, PhD Professor in Engineering University of Wisconsin Bio: Rob is the McFarland-Bascom Professor in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine…

March 17 @ 4:00 pm - 5:00 pm

Laura Balzano, PhD, University of Michigan – MIDAS Seminar Series

Laura Balzano, PhD Assistant Professor Electrical Engineering and Computer Science College of Engineering University of Michigan Bio: My research projects are in statistical signal processing, matrix factorization, and optimization, particularly…

March 24 @ 4:00 pm - 5:00 pm

Tianxi Cai, Sc.D., Harvard University – MIDAS Seminar Series

Tianxi Cai, Sc. D. Professor of Biostatistics T. H. Chan School of Public Health Harvard University Bio: Dr. Cai’s current research interests are mainly in the area of biomarker evaluation; model selection and…

April 7 @ 4:00 pm - 5:00 pm

Michael Cavaretta, PhD, Director Ford Analytics – MIDAS Seminar Series

   Michael Cavaretta, PhD Director of Analytics Infrastructure Ford Motor Company   Bio: Responsible for building and operating the computational infrastructure for 400+ members of Ford’s Global Data, Insight and Analytics…

April 21 @ 4:00 pm - 5:00 pm

Danai Koutra, PhD, University of Michigan – MIDAS Seminar Series

Danai Koutra, PhD Assistant Professor Computer Science and Engineering College of Engineering University of Michigan Bio: I am interested in mathematically formulating interesting problems for exploring large-scale networks, and solving them…

Previous seminars

Dr. Tamara Kolda, Sandia National Labs, Distinguished Member of Technical Staff
“An Overview of Tensor Decompositions for Data Analysis, with Emphasis on Computation and Scalability”; Slides
November 9, 2016

Dr. Yuejie Chi, Ohio State University, Assistant Professor, Electrical and Computer Engineering, Biomedical Informatics
“Solving Corrupted Systems of Quadratic Equations, Provably”; Video
November 4, 2016

Dr. Gary King, Harvard University, Department of Government; Director, Institute for Quantitative Social Science
Big Data is Not about the Data!”; Video
October 7, 2016

Dr. Jacob Abernethy, University of Michigan, Electrical Engineering and Computer Science
Statistical and Algorithmic Tools to Aid Recovery in Flint”; Video
September 30, 2016

Dr. Rebecca Willet, University of Wisconsin, Electrical and Computer Engineering
Estimating High-Dimensional Autoregressive Point Processes”; Video
September 23, 2016

Dr. Geoff Ginsburg, Duke University, Medicine, Pathology, Biomedical Engineering, Applied Genomics & Precision Medicine
Novel Genomic Paradigms for Early Detection and Diagnosis of Acute Infectious Disease”; Video
September 9, 2016

Dr. Dragomir Radev, University of Michigan, Information, Engineering
Natural Language Processing for Collective Discourse; Video
April 8, 2016

Dr. Mark Newman, University of Michigan, Complex Systems, Physics
“Structure and Function in Complex Networks”; Video
April 1, 2016

Dr. Michael Jordan, University of California, Berkeley, Engineering, Statistics
On Computational Thinking, Inferential Thinking and Data Science”; Video
March 24, 2016

Dr. Christopher Ré, Stanford University, Computer Science
“DeepDive: A Dark Data System”; Video
March 11, 2016

Dr. Tim McKay, University of Michigan, Physics, Astronomy
“Personalizing Education at Scale”Slides Video
February 19, 2016

Dr. Kevin Ward, University of Michigan, Michigan Center for Integrative Research in Critical Care, Fast Forward Medical Innovation
“Data in Motion Phenotyping: From the Intensive Care Unit to the Home”; Video
February 5, 2016

Dr. Perry Samson, University of Michigan, Climate and Space Sciences and Engineering
“Learning Analytics: Mining Student Behaviors During Class to Predict Exam Scores” ; Video
January 29, 2016

Dr. Goncalo Abecasis, University of Michigan, Center for Statistical Genetics
“Sequencing 10,000’s of Human Genomes: Early Results, Opportunities and Challenges”; Video
January 22, 2016

Dr. Amit Surana, United Technologies Research Center, Sr. Research Scientist
“Koopman Operator Theoretic Framework for Dynamic Data Analytics”
January 15, 2016

Dr. Susan Murphy, University of Michigan, Statistics, Institute for Social Research
Learning Treatment Policies in Mobile Health”
January 8, 2016

Dr. Sandy Pentland, Massachusetts Institute of Technology Media Lab
Social Physics: Harnessing Big Data and Machine Learning in Support of Human Goals“; Video
December 11, 2015

Dr. Mesrob I. Ohannessian, University of California, San Diego
Computation-Statistics Tradeoffs in Unsupervised Learning via Data Summarization
December 4, 2015