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If you’re a Data Science Master’s student and you were unable to attend the Capstone Experience Information Meeting on February 12th, you can view the recording here.  

New program aims to create regional networks of mathematical sciences departments that provide training and internship experiences to doctoral students that lead to “mathematically meaningful” careers outside of academia

He is being recognized for his contributions to graphical model identification and shape analysis with applications to machine learning, medical imaging and computational anatomy.

William Hua's paper outlines a new model that promises to improve patient outcomes by optimizing both medication dosage amounts and the timing of those dosages.

He is known for his efforts to bridge the gap between mathematical research in academia and industry, and to develop programs to prepare students in the mathematical sciences for careers outside of academia.

Collaborative project with Microsoft will use network machine learning on enterprise communication and collaboration data to evaluate and detect network resilience in a post-pandemic world.

Priebe has been recognized for his outstanding research and leadership in the field of statistics.

Established in 1964, the NAE is made up of more than 2,000 peer-elected members and international members who advise the U.S. government on matters regarding engineering and technology.

Charon’s research focuses on shape analysis and its applications to medical imaging and computational anatomy.

Pavlo A. Krokhmal Oleg A. Prokopyev   Dear Colleagues: It is our pleasure to announce that the following paper was named the winner of the 2018 OPTL Best Paper Award:…

Study aimed at understanding fluid turbulence from a physics perspective.

He brings to this position a breadth of experience in areas including student and academic affairs and faculty hiring and promotion, as well as in building and maintaining critical collaborations with the Krieger School and other university divisions.