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MIDAS Seminars

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Past Seminars

U-M Data Science Annual Symposium 2020

With Prof. David Fouhey and Prof. Jason Corso

9:00am – 5:00pm in Remote/Virtual

U-M Data Science Annual Symposium 2020

With Prof. David Fouhey and Prof. Jason Corso

9:00am – 5:00pm in Remote/Virtual

Data Science and Politics

David Shor, SuperPAC Data Scientist, Democratic Consultant

8:00am – 5:00pm

MIDAS Reproducibility Day

2:00pm – 5:00pm

Beyond Algorithmic Fairness: What Social Justice Needs from Data Science

Kentaro Toyama, Professor of Community Information, Professor of InformationSchool of Information, University of Michigan

4:00pm – 5:00pm

MIDAS Reproducibility Challenge Showcase

Chris Brooks, Assistant Professor of Information – School of Information, University of Michigan

1:00pm – 2:00pm

“Is AI Racist?”

Dr. Jagadish and Other Experts, Professor, Electrical Engineering and Computer Science Director of the Michigan Institute for Data Science

4:30pm – 5:30pm

MIDAS Reproducibility Challenge Showcase: #6

Sharon Glotzer, Professor, Chemical Engineering and Materials Science & Engineering, U-M

1:00pm – 2:00pm

MIDAS Reproducibility Challenge Showcase: Sharon Glotzer – An Open Software Approach for Reproducible Research for Materials Design

SHARON GLOTZER, Professor – Chemical Engineering and Materials Science and Engineering, University of Michigan

1:00pm – 2:00pm

MIDAS Reproducibility Challenge Showcase: #5

John Silberholz & Nigel Michki, Associate Professor, Technology & Operations, U-M & Doctoral student, Biophysics, U-M

1:00pm – 2:00pm

A Mobile/wearable Platform for Collecting Data on Sleep and Circadian Rhythms in the Time of COVID

Danny Forger, Professor of Computational Medicine, Bioinformatics, & Mathematics, U-MUniversity of Michigan

1:00pm – 2:00pm

A Scalable Tool for Longitudinal Twitter Analysis

Al Hero & Walter Dempsey, Professor, EECS & Engineering, U-M & Assistant Professor, School of Public Health, UMUniversity of Michigan

1:00pm – 2:00pm

MIDAS Seminar | Student Event

A Data Scientist Plays Games

Nick Berry, Data ScientistFormerly with Microsoft, GameHouse, and Facebook

12:00pm – 1:30pm in Remote/Virtual

Is It Possible to Democratize AI for Business

Jen Stirrup, Regional DirectorMicrosoft

3:30pm – 4:30pm in 340 West Hall

How Language Makes Us Smart (Without Big Data)

Charles Yang, DirectorUniversity of Pennsylvania

3:30pm – 4:30pm in 340 West Hall

Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research

Arthur Spirling, Deputy Director,Center for Data Science, New York University

3:30pm – 4:30pm in 340 West Hall

Bias in Search and Recommenders Systems

Ricardo Baeza-Yates, CTO, NTENT Director, Data Science Programs,Northeastern University, Silicon Valley Campus

3:30pm – 4:30pm in Weiser Hall

Quantifying Cell Type-Specific Changes in Transcriptional State and Gene Co-Regulation Across Multiple Datasets Using SCRANA-SEQ

Gerald Quon, Assistant ProfessorUniversity of California

2:00am – 3:00pm in Forum Hall, Palmer Commons

How Powerful Are Graph Neural Networks?

Jure Leskovec, Associate ProfessorStanford University

3:30pm – 4:30pm in Weiser Hall

Constructing Tumor-Specific Gene Regulatory Networks Based on Samples with Tumor Purity Heterogeneity

Pei Wang, PhD – Icahn School of Medicine, Mount Sinai, ProfessorDepartment of Genetics and Geomic Sciences

3:30pm – 4:30pm in 340 West Hall

Learning & Exploiting Low-Dimensional Structure in High-Dimentional Data

David Dunson, PhD , Arts & Sciences Distinguished Professor of Statistical Science & MathematicsDuke University

3:30pm – 4:30pm in 340 West Hall

PCS Framework, Interpretable Machine Learning, and Deep Neural Networks

Bin Yu, PHD, Chancellor’s ProfessorElectrical Engineering and Computer Science University of California, Berkeley

3:30pm – 4:30pm in Weiser Hall

Are you a researcher looking for genetic and clinic data? Do you need assistance in data analysis?

Erin O’Brein Kaleba, MPH Director, Data Office for Clinic and Translational Research; Cinzia Villanucci Smothers, M. Bioethics Project Manager

3:30pm – 4:30pm in Hussey Room, Michigan League

Benchmarking at Scale: Comparing Analysis Workflows for Single-Cell Genomic Data

Jun Li, Professor of Human GeneticsUniversity of Michigan

3:30pm – 4:30pm in Weiser Hall

Predictive Analytics in Healthcare: From Anomaly Detection to Development of Clinical Decision Systems

Elyas Sabeti, PhD, MIDAS FellowUniversity of Michigan

3:30pm – 4:30pm in Vandenberg Room, Michigan League

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