About the Program
Questions for the program team about applying?
Drop in for office hours:
Monday, Sept.11, 10:00 am – 12:00 pm
Thursday, Sept. 28, 11:00 am – 1:00 pm
6th Floor, Weiser Hall
The two-year Data Science Fellows Program accepts recent PhDs who excel in their respective fields and whose work is in data science. They will work at the boundaries of data science methods and domain sciences in an intellectually vibrant environment, and develop collaborative relationships with the U-M data science community.
The Fellows program is a component of MIDAS’ effort to catalyze the transformative use of Data Science in a wide range of disciplines to achieve lasting societal impact, through research, education, outreach and partnership.
Current Fellows

Bernardo Modenesi
Data Science

Amirhossein Moosavi
Using AI methods to improve optimization algorithms and incorporating personal and organizational constraints for healthcare management decision-making.

Jeremy Seeman
Refining formal privacy methods and applying them to survey data.

Elyse Thulin
Computational methods to better understand human behaviors
Alumni




Arya Farahi
 Assistant Professor, Statistics and Data Science, University of Texas, Austin
Austin, TX



Johanna Okerlund
Assistant Professor, College of Information Science and Technology, Penn State
University Park, PA





Edgar Franco Vivanco
Assistant Professor, Dept. Political Science, University of Michigan
Ann Arbor, MI

U-M Faculty Members Interested in Being Mentors
Name | Title | Primary Department: | Tagline: |
Arun Agrawal | Professor | School for Environment and Sustainability | The politics of international development, and environmental conservation, institutional change |
Raed Al Kontar | Assistant Professor | Industrial and Operations Engineering, College of Engineering | Smart and connected products and systems |
Camille Avestruz | Assistant Professor | Physics, LSA | Evolution of galaxy clusters, machine learning in cosmology |
Veera Baladandayuthapani | Professor | Biostatistics, School of Public Health | High-dimensional modeling and Bayesian inference |
Elizabeth Bondi-Kelly |
Assistant Professor | Computer Science and Engineering | AI for social impact |
David Brang | Associate Professor | Psychology | Multisensory, electrophysiology, machine learning, neuro-oncology, neuroscience |
Christopher Brooks | Research Assistant Professor | School of Information Director, Learning Analytics and Research in the Office of Digital Education & Innovation |
Visualizing the interaction between learners and learning technology |
Ceren Budak | Assistant Professor | School of Information | Computational social science |
Bilal Butt | Associate Professor | School for Environment and Sustainability | Agritech, Big Data, Environmental Social Sciences |
Eunshin Byon | Associate Professor | Industrial and Operations Engineering, College of Engineering Civil and Environmental Engineering, College of Engineering |
Sustainable energy systems and reliability engineering |
Dallas Card | Assistant Professor | School of Information | Natural language processing, and computational social science, machine learning |
Tim Cernak | Assistant Professor | Medicinal Chemistry, College of Pharmacy Chemistry, LSA Graduate Program in Chemical Biology |
Computational design of chemical reactions and synthesis |
Sriram Chandrasekaran | Assistant Professor | Biomedical Engineering, College of Engineering | Computer models of protein networks |
Yang Chen | Assistant Professor | Statistics, LSA | Statistical inference and applied statistics in biology and astronomy |
Thomas L. Chenevert | Professor | Radiology, Michigan Medicine | Longitudinal Image Registration, Oncologic MR Imaging, Quantitative Imaging Biomarkers, Tumor Volume Segmentation |
Lia Corrales | Assistant Professor | Astronomy | Statistical techniques for studying astrophysical aerosols in the X-ray and UV |
Walter Dempsey | Assistant Professor of Biostatistics, Assistant Research Professor at the Institute of Social Research | Department of Biostatistics | Mobile Health, Network Science, Statistical Methods |
Paramveer Dhillon | Assistant Professor | School of Information | Computational social science, Natural language processing, Statistical Machine Learning, and Field/Digital Experiments |
Ivo D. Dinov | Professor | Computational Medicine and Bioinformatics Human Behavior and Biological Sciences Michigan Institute for Data Science (MIDAS) |
Mathematical modeling, statistical analysis and data visualization |
Marisa Eisenberg | Assistant Professor | School of Public Health | Mathematical modeling of disease mechanisms, and intervention design, forecasting |
August (Gus) Evrard | Professor | Physics and Astronomy, LSA | Computational cosmology |
Anne Fernandez | Associate Professor | Psychiatry, Medical School | Applying precision health approaches to advance the science of addiction treatment |
Jeff Fessler | Professor | EECS, College of Engineering Biomedical Engineering, College of Engineering Radiology, Michigan Medicine |
Large-scale inverse problems in image reconstruction |
Nancy Fleischer |
Associate Professor | Epidemiology | Survey methodology, epidemiology, health equity, policy, public health |
Lana Garmire | Associate Professor | Computational medicine and bioinformatics, Medical School | Data science for actionable transformation of human health from the bench to bedside |
Andrew Gronewold | Associate Professor | School for Environment and Sustainability | Quantifying and communicating uncertainties arising within long-term hydrological monitoring networks and data |
Anhong Guo | Assistant Professor | EECS, College of Engineering, School of Information |
Hybrid human-AI intelligent interactive systems to provide access to visual information in the real world
|
Libby Hemphill | Research Associate Professor | School of Information | Digital data, justice, social media |
Wei Hu | Assistant Professor | Computer Science and Engineering | Deep Learning, Representation Learning, machine learning, optimization, theory |
Xun Huan | Assistant Professor | Mechanical Engineering, College of Engineering | Uncertainty quantification, and numerical optimization, data-driven modeling |
Xianglei Huang | Professor | Department of Climate and Space Sciences and Engineering | Climate diagnostics, data modeling, optimization, remote sensing, time-series analysis |
Ivy F. Tso | Associate Professor | Psychiatry | Psychiatric disorders, brain network, computational and predictive models |
Meha Jain | Assistant Professor | School for Environment and Sustainability | Agriculture, machine learning, remote sensing, sustainability |
David Jurgens | Assistant Professor | School of Information | Computational social science and natural language processing |
Jian Kang | Associate Professor | Biostatistics | Bayesian methods, composite likelihood approach and missing data problems, efficient statistical computation algorithms, graphical models, latent source separation methods, network inference, ultrahigh-dimensional feature selection |
Evan Keller | Professor of Urology and Pathology | Urology | Single cell and spatiotemporal analyses of healthy and diseased tissues |
Nicholas Kotov | Professor | Chemical Sciences and Engineering | Biomimetic Nanostructures |
Arpan Kusari | Assistant Research Scientist | Assistant Research Scientist, UMTRI | LiDAR, Reinforcement Learning, autonomous vehicles, realistic simulation, uncertainty estimation |
Elizaveta Levina | Vijay Nair Collegiate Professor | Statistics, LSA | Statistical inference on realistic models for network |
Gen Li | Assistant Professor | Department of Biostatistics | Data Integration, Dimension Reduction, Microbiome Research, Parsimonious Models, graphical models, predictive modeling |
Yi Li | Professor | Biostatistics, School of Public Health Kidney Epidemiology and Cost Center |
Statistical methods for kidney epidemiology |
Max Li | Assistant Professor | COE (AERO, IOE, CEE) | Design, Management, and Optimization of Air Transportation Systems |
Zhongming Liu | Associate Professor | Biomedical Engineering | Computational and cognitive neuroscience, deep neural networks |
Jie Liu | Assistant Professor | Computational Medicine and Bioinformatics | Machine learning and computational genomics |
Sabine Loos | Assistant Professor | Civil and Environmental Engineering | Data and user-driven approaches on disasters and equity |
Wei Lu | Professor | Mechanical Engineering | Integrating human knowledge into machine learning |
Qiaozhu Mei | Associate Professor | School of Information EECS, College of Engineering |
Information retrieval and text mining |
Briana Mezuk | Associate Chair and Associate Professor, Epidemiology | Department of Epidemiology | Depression, epidemiology, integrative lifespan, suicide aging |
Emily Mower | Professor | Computer Science and Engineering | Provost Emotion modeling and assistive technology |
Nambi Nallasamy | Assistant Professor of Ophthalmology and Visual Sciences and Assistant Professor of Computational Medicine and Bioinformatics | Ophthalmology and Visual Sciences | Machine learning algorithms for the enhancement of outcomes in cataract surgery |
Joshua P Newell | Associate Professor | School for Environment and Sustainability | Geographic information systems, gis, remote sensing, resource flow analysis, sustainability, urban systems |
Samet Oymak | Assistant Professor | Electrical Engineering and Computer Science | Decision-making, efficient and robust ML, learning and optimization theory |
Bruce Allen Palfey | Associate Professor & Associate Director of Academic Programs, Chemical Biology Program, Life Sciences Institute | Biological Chemistry, Medical School | Mechanisms of flavin-containing enzymes of pyrimidine metabolism, dihydroorotate dehydrogenases, dihydrouridyl-tRNA synthases, thymidylate synthases |
Yulin Pan | Assistant Professor | Department of Naval Architecture and Marine Engineering | Data assimilation, fluid mechanics, physical oceanography |
Vitaliy Popov | Assistant Professor | Medical School, Department of Learning Health Sciences | Clinical simulations, learning analytics, multimodal |
Qing Qu | Assistant Professor | EECS, College of Engineering | Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning |
Majdi Radaideh | Assistant Professor | Nuclear Engineering and Radiological Sciences | Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization |
Arvind Rao | Associate Professor | Computational Medicine and Bioinformatics, Michigan Medicine Radiation Oncology, Michigan Medicine Biomedical Engineering, College of Engineering |
Multi-modal decision algorithms that integrate clinical measurements |
Daniel Romero | Associate Professor | Information, School of Information, Complex Systems, LSA, Electrical and Computer Engineering, College of Engineering |
Empirical and theoretical analysis of social and information networks |
Perry Samson | Professor | Climate and Space Science, College of Engineering School of Information |
Relationships between student performance and behaviors |
Maureen Sartor | Professor | Computational Medicine and Bioinformatics | Bioinformatics, biomarkers, cancer, classification, epigenomics, integrative omics, prediction, regulatory genomics |
Xu Shi | Assistant Professor | Department of Biostatistics | EHR data, causal inference |
Yajuan Si | Research Assistant Professor | Survey Research Center, Institute for Social Research | Bayesian, confidentiality protection, missing data, statistics, survey |
Peter Song | Professor | Biostatistics, School of Public Health | Data Integration, distributed inference, machine learning |
Wencong Su | Assistant Professor | EECS, College of Engineering | Efficient management of a large number of devices through distributed intelligence |
Vijay Subramanian | Associate Professor | EECS, College of Engineering | Stochastic modeling, decision and control theory and applications to networks |
Misha Teplitskiy | Assistant Professor | School of Information | Computational methods, experimental methods, science of science |
Ivy F. Tso | Associate Professor of Psychiatry, Adjunct Associate Professor of Psychology | Psychiatry | Psychiatric disorders, brain network, computational and predictive models |
V. G. Vinod Vydiswaran | Assistant Professor | Learning Health Sciences, Michigan Medicine School of Information |
Text mining, NLP, and ML for extracting relevant information from health-related text corpora |
Yixin Wang | Assistant Professor | Statistics, LSA | Large-scale probabilistic machine learning, causal inference, machine learning for science |
Joshua Welch | Assistant Professor | Computational Medicine and Bioinformatics | Machine learning for representing molecular cell states |
Zhenke Wu | Assistant Professor | Biostatistics, School of Public Health | Statistical methods for precision medicine |
Ming Xu | Professor | School for Environment and Sustainability Civil and Environmental Engineering, College of Engineering |
Computational and data-enabled methodology for sustainability |
Qiong Yang | Associate Professor | Biophysics, and affiliated with Bioinformatics, CDB and CMB | Biophysics of Living Systems, Quantitative Systems/Synthetic Biology |
Yang Zhang | Professor | Department of Nuclear Engineering and Radiological Sciences, Department of Materials Science and Engineering, Department of Robotics, Applied Physics Program | Far-from-equilibrium physics, extreme robots, liquid state physics, long timescale phenomena, neutron scattering, rare events, soft robots, statistical mechanics, swarm robots |
Xiang Zhou | John G Searle Assistant Professor | Biostatistics, School of Public Health | Statistical and computational methods for genetic and genomic studies |
Paul Zimmerman | Assistant Professor | Chemistry, LSA | Computational chemical reaction discovery |