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Medlytics 2021

Enrollment is Closed

About This Course

Data mining and machine learning have become ubiquitous in the age of "big data," and for good reason: advanced learning algorithms take advantage of ever-growing compute capacity and vast amounts of data to solve complex problems that can often meet or exceed human ability. These techniques are being embraced in nearly every sector, including financial trading, cybersecurity, entertainment, advertising, autonomous vehicles, and, of course, health and medicine. The increasing adoption of electronic health records, mobile health apps, and wearable technologies continues to generate troves of rich, real-time, high-resolution data. These data are now being used to train algorithms to help physicians build prognostic models, conduct medical image analysis, and improve diagnostic accuracy. In 2020, the BWSI Medlytics program will offer students the opportunity to explore the exciting intersection of data science and medicine!

Important Dates

  • Jan. 15: Enrollment opens
  • Feb. 1: Course starts
  • March 31: Applications for summer due [Modules 1-3 must be completed]
  • Apr. 30: Applicants notified of summer acceptance

Course Staff

Jordan Montgomery Headshot

Christian Cardoza

Christian Cardoza is an MIT alumni and lecturer. My Master's thesis was titled Many Interesting Things, which is the name of a first-year course I piloted at MIT in the spring of 2018. The basic idea of the class was that while standard engineering curricula tend toward ruthlessness, even the most crazy of topics can be introduced in an inviting, exciting way. I covered computer architecture, strobe photography, quantum computation, machine learning, and computer vision. It was a joy to teach, yes, but more importantly, student feedback indicated that this was how they most enjoyed learning.

Jeffrey Arena Headshot

Jeffrey Arena

A native of the Boston area, Jeff holds a bachelor’s degree in mechanical engineering from Tufts University and a master’s degree in industrial and systems engineering from the University of Illinois at Urbana-Champaign. His interests include engineering design optimization, philosophy, and bluegrass music.

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