Start the fall semester with this social event for the U-M data science and AI research community! Find out about exciting data science research that is happening at U-M, explore collaboration opportunities and student research opportunities. A number of junior faculty members and faculty new to U-M will each give a 3-minute lightning talk, and there will be ample networking time. Refreshments provided. All U-M faculty, staff and students are welcome to attend.

Register To Attend
https://forms.gle/JuRdZvV57bKpo4Ri9

Faculty Presenters (in alphabetical order):
Dr. Omar Ahmed
Assistant Professor, Psychology, LSA
Research Focus: Recording and analysis of massive volumes of neural data to understand, predict and treat neuropsychiatric disorders

Dr. Raed Al Kontar
Assistant Professor, Industrial & Operations Engineering, College of Engineering
Research Focus: Federated and distributed data analytics

Dr. Karen Alofs
Assistant Professor, School for Environment and Sustainability
Research Focus: Fish ecology and environmental change using historical data, museum specimens, field surveys, lab experiments and models

Dr. Lia Corrales
Assistant Professor, Astronomy, LSA
Research Focus: Data driven techniques for exoplanet detection in the NUV; data driven X-ray imaging techniques

Dr. Walter Dempsey
Assistant Professor, Biostatistics, School of Public Health
Research Focus: Data analytic methods in mobile and digital health

Dr. Ben Fish
Assistant Professor, Computer Science and Engineering, College of Engineering
Research Focus: Foundations of the social consequences of computing, particularly discrimination in machine learning

Dr. Edgar Franco Vivianco
Assistant Professor, Political Science, LSA
Research Focus: Handwritten text recognition models to analyze a corpus of interactions of Latin American colonial documents with the objective to analyze interactions of indigenous communities with the colonial state, the strategies they employed to resist exploitation, and their engagement with the legal system

Dr. Ben Green
Assistant Professor, Ford School of Public Policy
Research Focus: Design and ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation

Dr. Amie Gordon
Assistant Professor, Psychology, LSA
Research Focus: Health and well-being in the context of close relationships utilizing experimental, observational, survey, dyadic, daily experience, longitudinal, and physiological methods.

Dr. Xun Huan
Assistant Professor, Mechanical Engineering, College of Engineering
Research Focus: Methods and algorithms of Bayesian computation and their applications in the areas of engineering and healthcare

Dr. Rahul Ladhania
Assistant Professor, School of Public Health
Research Focus: Machine Learning for causal inference in behavior science and public health

Dr. Brian Lin
Assistant Research Scientist, University of Michigan Transportation Research Institute (UMTRI), College of Engineering
Research Focus: Using data-driven methods to explore driver and vulnerable road user's behavior and interaction with automated vehicles

Dr. Anthony Million
Research Investigator, Inter-university Consortium for Political and Social Research (ICPSR), Institute for Social Research
Research Focus: Investigating if pre-registration systems need discipline-specific design features and what these features might be

Dr. Matthew VanEseltine
Assistant Research Scientist, Survey Research Center, Institute for Social Research
Research Focus: The science of science, team science, early careers in scientific research, gender and science, and open science with restricted data

Dr. Joshua Welch
Assistant Professor, Computational Medicine and Bioinformatics, Medicine
Research Focus: Machine learning for single-cell genomics