2022 Annual Symposium
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 Mahmood, Harvard Medical School
Data-efficient and Multimodal Computational Pathology
Susan Mullally, Space Telescope Science Institute
Webb Telescope: The Data Behind the Images
SEED AWARD UPDATES
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
Development of a Searchable Database for Human Temporal Bone Otopathology Education and Research
Exploring Computer Vision Models and Developing Infrastructure for OCR and Image Clustering
Data Dashboards for Individual Risk of Covid-19 — Integrating Local and Population Levels of Data
Optimizing Routes in the Operating Room—Ryan Chou
Laying the Foundation for Large-scale Precision Stellar Parameter Inference in the Field of Exoplanets–Keyi Ding
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 below.
Please stay tuned to the 2023 Symposium page for updates on this year’s event.
2022 SYMPOSIUM ARCHIVE
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:
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
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
Google Maps Location