News

Innovation could accelerate research into how HIV affects memory and thinking.

NSF CAREER award to advance scalable optimization tools to solve complex data science challenges in health care, energy, and finance.

Johns Hopkins researchers introduce new method to solve complex problems with minimal data, enhancing efficiency across industries.

In this Q&A, Professor Edward Scheinerman discusses his newly published book, which focuses on the foundational nature of real numbers and their complexities.

Department student and faculty members receive the 2024 Best Paper Award at the 38th Neural Information Processing Systems (NeurIPS) Conference.

Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.

Hélyette Geman's newly published book, Investing with Art, delves into art's economic, cultural, and emotional dimensions in a rapidly evolving world.

Researchers use advanced models to uncover critical thresholds in global ocean circulation, highlighting potential climate impacts.

Joseph Paat, PhD '17, wins 2024 INFORMS Young Researcher Prize for contributions to mathematical optimization theory.

Meet our newest assistant research professor, whose passion for data science and software engineering is matched only by his commitment to the high jump!

Assistant Professor Mateo Diaz and his team win the 2024 Beale—Orchard-Hays Prize for their work on Primal-Dual Linear Programming.

New assistant professor shares insights on probability theory and computational complexity, highlighting both practical applications and the challenges of handling massive, high-dimensional datasets.