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
November 16, 2025
To distribute MDBench and future projects, we have created a public repository of IDSL’s software. Check it out!
November 7, 2025
Our paper “MDBench: Benchmarking Data-Driven Methods for Model Discovery” has been accepted as an oral presentation for the main technical track at AAAI-26! Congratulations to Amir and Aleks on their achievement!
October 6, 2025
Prof. Gryak is giving a talk on data-driven model discovery for the Queens for Computing Colloquium!
September 24, 2025
New preprint “MDBench: Benchmarking Data-Driven Methods for Model Discovery” posted!
September 2, 2025
New patent award Tensor Amplification-based Data Processing published!