03/13/2020: Qianying Lin, MIDAS Data Science Fellow
COVID-19 Outbreak in Wuhan, China: in Retrospect and in Prospect
04/30/2020: Siqian Shen, Associate Professor, Industrial and Operations Engineering, University of Michigan
From Data to Actions, From Observations to Solutions — A Summary of Operations Research and Industrial Engineering Tools for Fighting COVID-19
05/06/2020: Bhramar Mukherjee (John D. Kalbfleisch Collegiate Professor and Chair, Biostatistics, University of Michigan)
Rupam Bhattacharyya (graduate student, School of Public Health, University of Michigan)
Maxwell Salvatore (School of Public Health, University of Michigan)
Debashree Ray (Assistant Professor, Epidemiology, Johns Hopkins University)
Predictions, Role of Interventions and the Crisis of Virus in India: Data Science Call to Arms
05/14/2020: Jon Zelner, Assistant Professor, Epidemiology, University of Michigan
Predicting COVID-19 Transmission
05/20/2020: Karandeep Singh, Assistant Professor, Learning Health Sciences and Medicine, University of Michigan
Predictive modeling for the identification of high- and low-risk for complications among COVID-19 patients
6/3/2020: Veera Baladandayuthapani, Professor of Biostatistics, University of Michigan
Zhenke Wu, Assistant Professor of Biostatistics, University of Michigan
Informing an Approach to India’s Recovery
6/10/2020: Rada Mihalcea, Professor, EECS, College of Engineering, University of Michigan
Life during COVID-19: a Billion-word Story as Told by a Natural Language Processing Researcher
6/17/2020: Holly Hartman, PHD Candidate, Biostatistics, University of Michigan
Jack Griffin, Founder/CEO, FoodFinder, University of Michigan Alum
Using Data for Good in the Age of COVID-19
6/24/2020: Scott Van Epps, Assistant Professor, Emergency Medicine, University of Michigan
The perils and promise of machine learning for life-threatening infection
7/15/2020: Daniel Forger, Professor, Computational Medicine, Bioinformatics, and Mathematics, University of Michigan
A mobile/wearable platform for collecting data on sleep and circadian rhythms in the time of COVID
