Details

Friday, October 13th Homewood Campus Glass Pavilion (Levering Hall) 8:30am–5:00pm

Register

Registration required

JOIN US

Register today to attend the Institute for Data-Intensive Engineering and Science (IDIES) for a full day of big-data themed talks and project updates.

The IDIES Annual Symposium aims to bring together experts in the theoretical foundations, development, and application of data-intensive technologies and analysis to share discoveries, practical ideas, and insights as they relate to big data research.

In our effort to promote interdisciplinary collaborations, we invite anyone—from our JHU affiliates, to governmental agencies, local organizations, non-profits, and beyond—with an interest in data science and big data, especially as they pertain to one’s current or prospective research, to attend this symposium.

To learn more about IDIES and our resources, or to register to attend the symposium, please be sure to visit our website at idies.jhu.edu.

Event Updates

Speakers

Keynote Speakers (in alphabetical order)

Schedule

Click on any of the + links below to expand a section and read the abstract and speaker bio for each talk.

Alexis Battle

Speaking on the topic of: Genomics and machine learning

PhD; 2016 Searle Scholar; Associate Professor of Biomedical Engineering, Computer Science (Johns Hopkins University)

Thomas Hartung

Speaking on the topic of: Organoid cultures and the use of artificial intelligence

MD, PhD; Director of the Johns Hopkins Center for Alternatives to Animal Testing, Doerenkamp-Zbinden Chair, Professor of Environmental Health and Engineering, Molecular Microbiology and Immunology (Johns Hopkins University)

Julia Lane

Talk title: Democratizing our Data

PhD; Provostial Fellow for Innovation Analytics, Professor NYU Wagner Graduate School of Public Service

Seed Award Speakers

G. Caleb Alexander

Harnessing Image Detection to Help Address the U.S. Opioid Epidemic: An Analysis of the Opioid Industry Documents Archive

MD, MS; Professor of Epidemiology and Medicine at Johns Hopkins Bloomberg School of Public Health; Founding co-Director of the Center for Drug Safety and Effectiveness and Principal Investigator of the Johns Hopkins Center of Excellence in Regulatory Science and Innovation (CERSI)

Edward S. Chen

Expanding the Clinical Capability and Scalability of Truly Remote Vital Sign Monitoring

MD; Director of Respiratory Care Services at Johns Hopkins Bayview; chair of the Hopkins Epic Development Project Critical Care workgroup

Angelo Mele

Systemic Risk and Externalities in Software Dependency Networks

PhD; Associate Professor of Economics, Affiliate Faculty at the Hopkins Population Center

Corey Oses

High-Entropy Anchors for High-Performance Lithium-Sulfur Batteries

PhD Assistant Professor of Materials Science and Engineering; Head of the Entropy for Energy Laboratory

Summer Student Fellowship (SSF) Speakers​

Jay Kim

Advised by Professor Mitra Taheri

Intelligent Microscopy Methods for Characterizing Intermediate States Using Electron Energy Loss Spectroscopy (EELS)

Second-year Student in Materials Science & Engineering, Computer Science

Sampath Rapuri

Advised by Professor Robert D. Stephens

Development and External Validation of a Machine Learning Model for Pulmonary Embolism

Second-year Student in Biomedical Engineering, Computer Science

William Shiber

Advised by Professor Corey Oses

AFLUX@JHU: Materials Search-API for the JHU aflow.org Data Repositories

Second-year Student in Applied Mathematics & Statistics