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.


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!

December 7, 2023

New patent application Novel Tropical Geometry-Based Interpretable Machine Learning Method published!

November 28, 2023

New journal paper Predicting Need for Heart Failure Advanced Therapies using an Interpretable Tropical Geometry-based Fuzzy Neural Network published in PLoS ONE!

November 2, 2023

New patent application Methods and Systems for Multilinear Discriminant Analysis Via Invariant Theory for Data Classification published!

October 16, 2023

The new IDSL website launches!

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