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Seminars

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Past Seminars

Autonomous Marine Vehicle Control for Environmental Surveys

Bert Tanner

Professor, Mechanical Engineering, UD
April 5, 2023
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Data Science Meets Organic Chemistry

Matthew Sigman Ph.D.

University of Utah
March 22, 2023
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The Seven Deadly Sins of Data Science

Dr. Richard De Veaux

C. Carlise and Margaret Tippit Professor of Statistics, Williams College
October 10, 2022
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Single Image Depth Estimation and 3D Reconstruction Under Multi-Sensing Modalities

Guoyu Lu

Assistant Professor, Rochester Institute of Technology
December 4, 2020
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Big Data, Very Big Computers, and the Endless Pursuit for an Honest Weather Prediction System.

Jonathan Poterjoy

Assistant Professor, UMD
November 22, 2019
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Big Data, Very Big Computers, and the Endless Pursuit for an Honest Weather Prediction System.

Jonathan Poterjoy

Assistant Professor, UMD
November 22, 2019
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Deep Neural Language Models with Intrinsic and External Structures

Chenyan Xiong

Senior Researcher, MRS AI
November 12, 2019
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Age of Information in Random Access Channels: Distributed Algorithms for Stochastic Arrivals

Shirin Saeedi Bidokhti

Assistant Professor, Department of Electrical and Systems Engineering, University of Pennsylvania
November 11, 2019
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Taming Latent Factor Models for Explainability

Hongning Wang

Assistant Professor, Department of Computer Science, University of Virginia
November 6, 2019
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Predictably Unequal? The Effects of Machine Learning on Credit Markets

Paul Goldsmith-Pinkham

Assistant Professor of Finance, Yale School of Management
October 22, 2019
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Developing Active Optimization Workflows and Structure/Property Relationships for Inorganic Surface Design in Catalysis

Zachary Ulissi

Carnegie Mellon University
October 22, 2019
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From Machine Learning to Machine Reasoning

Yongfeng Zhang

Assistant Professor, Rutgers University
October 16, 2019
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A Generalized Framework of Sequence Generation

Kyunghyun Cho

Associate Professor, New York University
Research Scientist, Facebook Al Research

October 4, 2019
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Translating Biomechanics Research into Products that Improve Human Health

Scott Delp

Professor, Bioengineering and Mechanical Engineering, Stanford University
October 4, 2019
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Massive-scale Analytics

David Bader

Distinguished Professor, Department of Computer Science, New Jersey Institute of Technology
October 3, 2019
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Information Theory, Robust Uncertainty Quantification and Predictive Guarantees.

Markos Katsoulakis

Mathematics & Statistics, UMass Amherst
September 30, 2019
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Epigenetic Mechanisms of Cellular Heterogeneity in Gene Expression

Keji Zhao

Senior Investigator, Systems Biology Center, National Heart, Lung and Blood Institute, National Institutes of Health
September 23, 2019
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A data-science approach to simulating global spatiotemporal urban land expansion patterns throughout the 21st century

Jing Gao

Assistant Professor, Department of Geography and the Data Science Institute, University of Delaware
May 16, 2019
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Efficiency of Incorporating Retesting Outcomes for Estimation of Disease Prevalence

Aiyi Liu

Senior Investigator and Acting Chief, Biostatistics & Bioinformatics Branch NICHD, National Institute of Health (NIH)
May 3, 2019
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Research Software Engineering (RSE) at Princeton University

Ian Cosden

Manager of HPC Software Engineering and Performance Tuning in the Research Computing Department at Princeton University
May 3, 2019
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The LSST 10-year survey of the southern sky: what it will produce and how our department can use it

Federica Bianco

UD Data Science Institute Resident Faculty
April 30, 2019
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Applications of Deep Learning in Healthcare

Haider Ali

Assistant Research Professor
Department of Computer Science
Johns Hopkins University

April 26, 2019
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Beyond Watson: Towards Machine as a True Thought Partner

Jennifer Chu-Carroll

Senior Research Scientist, Elemental Cognition
April 17, 2019
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Urban Mining towards Environmental and Resource Sustainability

Xianlai Zeng

Associate Professor at Tsinghua University and Fulbright Scholar at Yale University
March 26, 2019
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Interpretable AI

Dimitri Bertsimas

Professor, Operations Research, Massachusetts Institue of Technology
March 22, 2019
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The Power of Many: Abstractions Adaptivity and Applications

Shantenu Jha

Associate Professor, Rutgers University
March 20, 2019
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Neural Circuits and Computations for Attentional Selection

Shreesh Mysore

Assistant Professor,Psychological & Brain Sciences, and Neuroscience, Johns Hopkins University
March 18, 2019
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Cross-Sectional and Time-Series Applications of Machine Learning Methods

Dr. Alberto Rossi

Associate Professor of Finance
Smith School of Business, University of Maryland, College Park

March 1, 2019
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Large-scale Optimization for Machine Learning

Aryan Mokhtari

Postdoctoral Associate
Massachusetts Institute of Technology

February 19, 2019
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Modern “Non”-Optimization for Data Science

Ying Cui

Research Associate, University of Southern California
February 14, 2019
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Optimal Transport and Topology in Data Science

Tom Needham

Ross Assistant Professor
The Ohio State University

February 11, 2019
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Finite Time Analysis of Vector Autoregressive
Models under Linear Restrictions

Yao Zheng

Postdoctoral Fellow & Visiting Assistant Professor,
Department of Statistics
Purdue University

February 4, 2019
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Sparse Fourier Transforms, Generalizations, and Extensions

Mark Iwen

Assistant Professor, Department of Mathematics
and the Department of Computational Mathematics, Science, and Engineering
Michigan State

January 28, 2019
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Data-driven Modeling and Analysis in Biophysics

Ioannis Sgouralis

Center for Biological Physics
Arizona State University

January 24, 2019
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Data Science Applications in Aeroecology:
Using Weather Radar to Track Migrating Birds

Dr. Jeffrey Buler

Department of Entomology and Wildlife Ecology, UD
October 15, 2018
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Supporting patient centered care through big data analytics

Qing Zeng

Director, Biomedical Informatics Center, Professor Clinical Research and Leadership,
George Washington University

October 15, 2018
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Our Mission

The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.