Recent News
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As co-organizer of a new NSF-sponsored white paper, Soledad Villar joined researchers across the U.S. to outline how AI can advance mathematics, physics, chemistry, astronomy, and more.
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The award recognized his innovative work on long-step gradient descent and its implications for modern optimization theory.
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In this Q&A, a new assistant professor discusses the mathematical foundations of AI and his plans for collaboration at Johns Hopkins.
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In this Q&A, incoming assistant professor shares how she became interested in PDEs and what excites her about joining Johns Hopkins.
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Veteran researcher Fadil Santosa’s second five-year term begins July 1.
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In this Q&A, Professor Edward Scheinerman discusses his newly published book, which focuses on the foundational nature of real numbers and their complexities.
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Hélyette Geman's newly published book, Investing with Art, delves into art's economic, cultural, and emotional dimensions in a rapidly evolving world.
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Meet our newest assistant research professor, whose passion for data science and software engineering is matched only by his commitment to the high jump!
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New assistant professor shares insights on probability theory and computational complexity, highlighting both practical applications and the challenges of handling massive, high-dimensional datasets.
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In a Q&A, new senior lecturer Su Ji Hong delves into the intricacies and real-world applications of mathematical structures while expressing her excitement about joining the department.
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New model predicts how much time proposed rail line could save commuters.
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In a Q&A session, new assistant professor Haoyang Cao shares her expertise in utilizing machine learning to tackle high-dimensional stochastic games involving large populations.