Skip to main content

Medlytics 2020

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

  • Feb. 2: Enrollment opens
  • Feb. 15: Course starts
  • Apr. 1: Applications for summer due
  • Apr. 30: Applicants notified of summer acceptance

Course Staff

Jordan Montgomery Headshot

Jordan Montgomery

Jordan Montgomery is a member the technical staff in Lincoln Laboratory's Systems and Analysis Group. Jordan has worked at Lincoln Lab since 2018, after completing his PhD in Astronomy at Boston University.

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.

Thomas Curtis Headshot

Thomas Curtis

Thomas is a systems analyst in Group 109 at Lincoln Laboratory. Thomas studied computer science in his undergraduate program and has been responsible for innovating and maintining several key simulation codes within Group 109. He is looking forward to using his knowledge of software to help new students explore data.

Marianne Procopio Headshot

Morianne Procopio

Marianne Procopio is an associate staff member in the Tactical Defense Systems Group, developing software systems ranging from embedded systems control to large scale data analysis. She is also completing her PhD in the Visual Analytics Lab at Tufts University, researching the different strategies that integrate data storage and retrieval techniques with front end visualization to enable interactive exploratory analysis on big data.

Frequently Asked Questions

What web browser should I use?

The Open edX platform works best with current versions of Chrome, Firefox or Safari, or with Internet Explorer version 9 and above.

See our list of supported browsers for the most up-to-date information.