Overview

This one-day workshop, a joint initiative of the National Institute for Theory and Mathematics in Biology (NITMB) and the Institute for Data, Econometrics, Algorithms, and Learning (IDEAL), focuses on the fundamental challenges at the intersection of modern data science theory and applications. The event will explore the development of novel mathematical and algorithmic foundations for extracting insights from data characterized by high dimensionality and intricate structures. While these challenges appear across many domains, modern biology—from genomics and single-cell analysis to bioimaging—serves as a key driver for developing powerful, broadly applicable methods.
The workshop brings together mathematicians, computer scientists, biologists, statisticians and scientists from related fields to foster interdisciplinary collaboration. The day’s format includes four main talks, a lightning talk session, and a poster session, with significant time reserved for discussion and networking.
Speakers
Associate Professor, Department of Statistics and Data Science, Carnegie Mellon University
Professor, Toyota Technological Institute at Chicago (TTIC)
Assistant Professor, Department of Computer Science, Northwestern University
Professor, Human Genetics, University of Chicago