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With an interest in large-scale optimization algorithms for machine learning and data science applications, Loizou provides insight through a Q&A about his goals and plans for his time at Johns Hopkins.

Nadejda ‘Nadia’ Drenska, a postdoctoral fellow, recently took the initiative to gather faculty, staff, PhD students, and postdoctoral fellows from the Department of Applied Mathematics and Statistics in an outing…

Joshua Agterberg, whose work focuses on theoretical problems in data science and statistics, won for his presentation on “Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues."

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.