YU News

In summer 2024, the Straus Center Impact Office provided grants to several students with internships in Jewish advocacy, fostering a new generation of leaders dedicated to both public service and Jewish values.

Researchers in the Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making—to determine customer spending habits.

Jenny and Yakov Sundel, a married couple and Straus Scholars at YU, brought their shared interest in political data and strategy to distinct but complementary roles in the field of political polling.

Yehudit (Judith) -- title page Are you able to imagine the story of Judith, with its bloody and gory aspects, as a Jewish children’s book in glorious color!? Although the figure of Judith holding Holofernes’ head was popular in classical art, a children’s version had to wait until 1945 in Memphis…

YUNews interviews Rikki Zagelbaum (SCW ‘26), a Media Studies major who interned at The Jerusalem Post as part of OU-JLIC’s “Summer in Jerusalem” program, with support from the Straus Center.

On December 4th, Yeshiva University hosted Dr. Neil Rogachevsky for a lecture titled “Statesmanship: An Introduction to the Political Thought of David Ben-Gurion.”

For the first time, a team of researchers has managed to create a 2D version of D-class topological phases using sound.

In a recent study, Dr. Edward Belbruno, a professor in the Katz School’s M.A. in Mathematics, delves deeply into the weak stability boundary, uncovering its fractal nature and its similarities to the famous Mandelbrot set.

By using deep learning techniques, Katz School researchers have created systems that analyze vast amounts of data to identify subtle distortions in digital content, ensuring that every pixel and frame contributes to the best possible viewing experience.

Dr. David Sweet concentrates his research on Bayesian optimization, which is a tool that helps computers do this efficiently by reducing the number of “tests” needed to find the best solution.