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2022 Annual Symposium

Post-Event Recap

Thank you to all who attended our return to an in-person symposium!

If you were not able to attend or would like to revisit a specific presentation, a YouTube recording of the entire event is available here and in the player on this page. 
Please stay tuned to the 2023 Annual Symposium page for updates on this year’s event.


Thursday, October 20th, 2022, 9:00am–5:00pm

West Reading Room | Welch Medical Library

Johns Hopkins Medical Campus
1900 E Monument St. | Baltimore, MD | 21215

Event Flyer

Google Maps Location


Keynote Speakers

Pat Helland, Salesforce

Standing on the Distributed Shoulders of Giants

Stephanie Hicks, Department of Biostatistics, Bloomberg School of Public Health

Scaling up single-cell and spatial data analyses

Faisal MahmoodHarvard Medical School

Data-efficient and Multimodal Computational Pathology

Susan Mullally, Space Telescope Science Institute

Webb Telescope: The Data Behind the Images

Seed Award Speakers

Paulette Clancy

GaN Thin Film Growth through a New Gas-phase Reactive Additive Manufacturing Process (GRAM)

Soumyajit Ray (for Rama Chellappa)

Development of an Artificial intelligence System for Phenotyping of Patients with Acute Stroke

Amanda Lauer

Development of a Searchable Database for Human Temporal Bone Otopathology Education and Research

Tom Lippincott

Exploring Computer Vision Models and Developing Infrastructure for OCR and Image Clustering

Tom Woolf

Data Dashboards for Individual Risk of Covid-19 — Integrating Local and Population Levels of Data

Summer Student Fellowship Speakers

Ryan Chou

Optimizing Routes in the Operating Room

Keyi Ding

Laying the Foundation for Large-scale Precision Stellar Parameter Inference in the Field of Exoplanets

2022 Symposium Updates

Agenda Updated with Talk Titles

Today is the day! 


We will see you at 9:00am at the West Reading Room in the Welch Library at 1900 E. Monument St. Please park in the Washington Street garage and bring your ticket stub with you for validation. 

Symposium Agenda Announced

We’re excited to announce the official schedule for this year’s symposium (but if you haven’t registered, there’s still time)

Our juried poster session is now accepting poster registrations. Your poster could win you a $100 Amazon gift card!

Back in-Person with a New Location

Join us—the Institute for Data-Intensive Science and Engineering (IDIES)—for our 2022 annual symposium on Thursday, October 20th!

We’re excited to announce that this year’s event is returning to an in-person format at the West Reading Room of the Johns Hopkins Welch Medical Library, located on the East Baltimore medical campus. Registration* is required in order to attend.

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.

In addition to a catered lunch, snacks, and closing cocktail reception, this year’s symposium will include:

Keynote Speakers:

Stephanie Hicks, Associate Professor, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health;

Susan Mullally, Deputy Project Scientist for the James Webb Space Telescope at the Space Telescope Science Institute;

Pat Helland, Software and Database Architect at Salesforce; and

Faisal Mahmood, Assistant Professor of Pathology at Harvard Medical School and the Division of Computational Pathology at the Brigham and Women’s Hospital

IDIES Seed Award updates

The presentation of ARCH’s (Advanced Research Computing at Hopkins) Robbins Prize in High-performance Computing

Juried Poster Session

…and more!