Michigan Data Science Fellows

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.

Sunburst animation of fellows by department and college.

Incoming Fellows

Mohna Chakraborty

Methodology / Social Science

Rosiana Natalie

Methodology / Healthcare

Current Fellows

Bernardo Modenesi

Data Science Fellow, Michigan Institute for Data Science

Amirhossein Moosavi

Data Science Fellow, Michigan Institute for Data Science

Mentors

Alumni

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
Fadhl Alakwaa	Assistant Research Scientist	Internal Medicine, Michigan Medicine	Machine learning, personalized medicine, predictive modeling
Jacob Allgeier	Associate Professor	Ecology and Evolutionary Biology, College of Literature Science and the Arts	The mechanisms by which behavioral, population, and community dynamics mediate nutrient and energy pathways
Camille Avestruz	Assistant Professor	Physics, College of Literature Science and the Arts	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, College of Engineering	AI for social impact
David Brang	Associate Professor	Psychology, College of Literature Science and the Arts	Multisensory, electrophysiology, machine learning, neuro-oncology, neuroscience
Christopher Brooks	Associate 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	Associate Professor	School of Information	Computational social science
Bilal Butt	Associate Professor	School for Environment and Sustainability	Agritech, Big Data, Environmental Social Sciences
Dallas Card	Assistant Professor	School of Information	Natural language processing, and computational social science, machine learning
Neil Carter	Associate Professor	School for Environment and Sustainability	Challenging local to global wildlife conservation issues in the Anthropocene
Tim Cernak	Associate Professor	Medicinal Chemistry, College of Pharmacy Chemistry, LSA Graduate Program in Chemical Biology	Computational design of chemical reactions and synthesis
Joyce Chai	Professor	Computer Science and Engineering, College of Engineering	Artificial Intelligence, Natural language processing, situated communication
Sriram Chandrasekaran	Associate Professor	Biomedical Engineering, College of Engineering	Computer models of protein networks
Yang Chen	Assistant Professor	Statistics, College of Literature Science and the Arts	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, College of Literature Science and the Arts	Statistical techniques for studying astrophysical aerosols in the X-ray and UV
William Currie	Associate Dean of Research and Engagement, Professor of Environment and Sustainability, Professor of Environment	Research and Engagement, School for Environment and Sustainability, College of Literature Science and the Arts	Ecosystem modeling, sustainability, water quality, knowledge representation
Walter Dempsey	Associate Professor of Biostatistics, Associate Research Professor at the Institute of Social Research	Biostatistics, School of Public Health	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, Bioinformatics, Michigan Medicine; Human Behavior and Biological Sciences, Michigan Institute for Data & AI in Society (MIDAS)	Mathematical modeling, statistical analysis and data visualization
Anne Draelos	Assistant Professor	Biomedical Engineering, College of Engineering, Michigan Medicine	Understanding computation in large-scale neural circuits
Marisa Eisenberg	Professor	School of Public Health	Mathematical modeling of disease mechanisms, and intervention design, forecasting
August (Gus) Evrard	Professor	Physics, Astronomy, College of Literature Science and Arts	Computational cosmology
Jeff Fessler	Professor	Electric Engineering and Computer Science, Biomedical Engineering, College of Engineering; Radiology, Michigan Medicine	Large-scale inverse problems in image reconstruction
Nancy Fleischer	Associate Professor	Epidemiology, School of Public Health	Survey methodology, epidemiology, health equity, policy, public health
Lana Garmire	Associate Professor	Computational medicine and bioinformatics, Michigan Medicine	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	Electrical Engineering and Computer Science, College of Engineering, School of Information	Hybrid human-AI intelligent interactive systems to provide access to visual information in the real world
Yongqun Oliver He	Professor	Laboratory Animal Medicine and Veterinarian, Michigan Medicine	Vaccine Informatics, Kidney Precision Medicine, Ontology and Semantic Web
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	Associate Professor	Mechanical Engineering, College of Engineering, College of Engineering	Uncertainty quantification, and numerical optimization, data-driven modeling
Xianglei Huang	Professor	Climate and Space Sciences and Engineering	Climate diagnostics, data modeling, optimization, remote sensing, time-series analysis
Meha Jain	Associate Professor	School for Environment and Sustainability	Agriculture, machine learning, remote sensing, sustainability
David Jurgens	Associate Professor	School of Information	Computational social science and natural language processing
Jian Kang	Associate Professor	Biostatistics, School of Public Health	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, Michigan Medicine	Single cell and spatiotemporal analyses of healthy and diseased tissues
Nicholas Kotov	Professor	Chemical Sciences and Engineering, College of Engineering	Biomimetic Nanostructures
Arpan Kusari	Assistant Research Scientist	Assistant Research Scientist, University of Michigan Transportation Research Institute	LiDAR, Reinforcement Learning, autonomous vehicles, realistic simulation, uncertainty estimation
Elizaveta Levina	Vijay Nair Collegiate Professor	Statistics, College of Literature Science and the Arts	Statistical inference on realistic models for network
Gen Li	Associate Professor	Biostatistics, School of Public Health	Data Integration, Dimension Reduction, Microbiome Research, Parsimonious Models, graphical models, predictive modeling
Max Li	Assistant Professor	Aerospace Engineering, Industrial Operations Engineering, Civil and Environmental Engineering, College of Engineering	Design, Management, and Optimization of Air Transportation Systems
Yi Li	Professor	Biostatistics, School of Public Health Kidney Epidemiology and Cost Center	Statistical methods for kidney epidemiology
Zhongming Liu	Associate Professor	Biomedical Engineering, College of Engineering	Computational and cognitive neuroscience, deep neural networks
Jie Liu	Associate Professor	Computational Medicine and Bioinformatics, Michigan Medicine	Machine learning and computational genomics
Sabine Loos	Assistant Professor	Civil and Environmental Engineering, College of Engineering	Data and user-driven approaches on disasters and equity
Wei Lu	Professor	Mechanical Engineering, College of Engineering	Integrating human knowledge into machine learning
Qiaozhu Mei	Professor	School of Information Electrical Engineering and Computer Science, College of Engineering	Information retrieval and text mining
Briana Mezuk	Associate Chair and Associate Professor, Epidemiology	Epidemiology, School of Public Health	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, Michigan Medicine	Machine learning algorithms for the enhancement of outcomes in cataract surgery
Joshua P Newell	Professor	School for Environment and Sustainability	Geographic information systems, gis, remote sensing, resource flow analysis, sustainability, urban systems
Mohammed Ombadi	Assistant Professor	Climate and Space Sciences and Engineering	Impact of climate change on the hydrologic cycle using advanced data analytics
Samet Oymak	Assistant Professor	Electrical Engineering and Computer Science, College of Engineering	Decision-making, efficient and robust ML, learning and optimization theory
Bruce Allan Palfey	Associate Professor & Associate Director of Academic Programs, Chemical Biology Program, Life Sciences Institute	Biological Chemistry, Michigan Medicine	Mechanisms of flavin-containing enzymes of pyrimidine metabolism, dihydroorotate dehydrogenases, dihydrouridyl-tRNA synthases, thymidylate synthases
Yulin Pan	Assistant Professor	Naval Architecture and Marine Engineering, College of Engineering	Data assimilation, fluid mechanics, physical oceanography
Vitaliy Popov	Assistant Professor	Learning Health Sciences, Michigan Medicine	Clinical simulations, learning analytics, multimodal
Emily Mower Provost	Professor	Computer Science, Computer Engineering, College of Engineering	Provost Emotion modeling and assistive technology
Qing Qu	Assistant Professor	Electrical Engineering and Computer Science, College of Engineering	Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning
Majdi Radaideh	Assistant Professor	Nuclear Engineering and Radiological Sciences, College of Engineering	Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization
Arvind Rao	Professor	Computational Medicine and Bioinformatics, 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, College of Literature Science and the Arts; 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, Michigan Medicine	Bioinformatics, biomarkers, cancer, classification, epigenomics, integrative omics, prediction, regulatory genomics
Xu Shi	Associate Professor	Biostatistics, School of Public Health	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	Professor	Electrical Engineering and Computer Science, College of Engineering	Efficient management of a large number of devices through distributed intelligence
Vijay Subramanian	Professor	Electrical Engineering and Computer Science, College of Engineering	Stochastic modeling, decision and control theory and applications to networks
Wenhao Sun	Assistant Professor	Materials Science and Engineering, College of Engineering	Materials Discovery and Design, Materials Informatics
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	Associate Professor	Learning Health Sciences, Michigan Medicine; School of Information	Text mining, NLP, and ML for extracting relevant information from health-related text corpora
Venkat Viswanathan	Associate Professor	Aerospace Engineering, College of Engineering	Programming languages, formal methods, software engineering, and artificial intelligence
Runzi Wang	Assistant Professor	School for Environment and Sustainability	Influence of land cover change and urban developmentÂ pattern toward stream water quality and stormwater quality
Yixin Wang	Assistant Professor	Statistics, College of Literature Science and the Arts	Large-scale probabilistic machine learning, causal inference, machine learning for science
Joshua Welch	Associate Professor	Computational Medicine and Bioinformatics, Michigan Medicine	Machine learning for representing molecular cell states
Zhenke Wu	Associate Professor	Biostatistics, School of Public Health	Statistical methods for precision medicine
Ming Xu	Associate 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,College of Literature Science and the Arts; Bioinformatics, Cell and Development Biology, and Cellular and Molecular Biology, Michigan Medicine	Biophysics of Living Systems, Quantitative Systems/Synthetic Biology
Lei Ying	Professor	Electrical Engineering and Computer Science, College of Engineering	The interplay of complex stochastic systems and big-data
Donglin Zeng	Professor	Biostatistics, School of Public Health	Precision medicine, dynamic treatment regimes, machine learning, high-dimensional inference, semiparametric models, survival analysis, electronic health records and clinical trials.
Yang Zhang	Professor	Nuclear Engineering and Radiological Sciences, Materials Science and Engineering, Robotics, Applied Physics Program, College of Engineering	Far-from-equilibrium physics, extreme robots, liquid state physics, long timescale phenomena, neutron scattering, rare events, soft robots, statistical mechanics, swarm robots
Xiang Zhou	Professor	Biostatistics, School of Public Health	Statistical and computational methods for genetic and genomic studies
Paul Zimmerman	Professor	Chemistry, College of Literature Science and the Arts	Computational chemical reaction discovery

Michigan Data Science Fellows

Incoming Fellows

Mohna Chakraborty

Rosiana Natalie

Current Fellows

Bernardo Modenesi

Amirhossein Moosavi

Mentors

Amy Cohn

Mariel Lavieri

Alumni

Stephen Ajwang

Maryam Bagherian

efrén cruz cortés

Arya Farahi

Dan Li

Qianying Lin

Johanna Okerlund

Patrick Park

Elyas Sabeti

Jeremy Seeman

Ian Stewart

Elyse Thulin

Maria Han Veiga

Edgar Franco Vivanco

Blair Winograd

U-M Faculty Members Interested in Being Mentors