Welcome to the Interdisciplinary Data Science Lab
PI: Jonathan Gryak, PhD
The Interdisciplinary Data Science Lab (IDSL) at Queens College, CUNY works to solve problems in biomedical informatics and computer science by developing novel artificial intelligence/machine learning methods that can leverage a problem’s underlying morphology and work within its operational limitations. We then translate these techniques to commercial settings where they may make a broader impact on society.
Our research efforts encompass the entire breadth of the technology development pipeline, from developing new mathematical techniques to working with industry and clinical partners towards commercialization.
News
August 14, 2024
New journal paper Learning Using Privileged Information With Logistic Regression on Acute Respiratory Distress Syndrome Detection published in Artificial Intelligence in Medicine!
July 10, 2024
An editorial about our work in food allergy, Rise of the Machines: The Future May Be Here for Food Allergy Diagnostics, was published in JACI Global!
April 7, 2024
New journal paper Prediction of Pediatric Peanut Oral Food Challenge Outcomes Using Machine Learning published in JACI Global!
February 14, 2024
PI Gryak was among eight QC professors selected for the prestigious CUNY Faculty Fellowship Publication Program!
January 16, 2024
PI Gryak and the work of IDSL were profiled by the Graduate Center!