About the Program

The two-year 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

efrén cruz cortés

Bias and discrimination in algorithms

Profile picture of Bernardo Modenesi

Bernardo Modenesi

Data Science

Elyse Thulin

Computational methods to better understand human behaviors

Maria Han Veiga

Developing techniques for multi-scale modelling

Alumni

Stephen Ajwang

Faculty Member, Rongo University

Kenya

Maryam Bagherian

Maryam Bagherian

Research Fellow, Yale University

New Haven, CT

Arya Farahi

 Assistant Professor, Statistics and Data Science, University of Texas, Austin

Austin, TX

Dan Li

Research Scientist, Rockwell Automation

Austin, TX

Qianying Lin

Postdoc, Los Alamos National Laboratory

Los Alamos, NM

Johanna Okerlund

Assistant Professor, College of Information Science and Technology, Penn State

University Park, PA

Patrick Park

Assistant Professor, Carnegie Mellon Software Engineering Institute

Pittsburgh, PA

Elyas Sabeti

General Motors Data Science Research Scientist

Austin, TX

Ian Stewart

Senior Research Scientist, Pacific Northwest National Laboratory

Richland, WA

Edgar Franco Vivanco

Assistant Professor, Dept. Political Science, University of Michigan

Ann Arbor, MI

Blair Winograd

Ford Motor Company Data Science Research and Consulting

Allen Park, MI

U-M Faculty Members Interested in Being Mentors

Name Title Primary Department: Tagline:
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
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
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
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
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
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
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
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
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
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
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
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
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