ESP Biography


Major: Not available.

College/Employer: MIT

Year of Graduation: Not available.

Picture of Aimee Maurais

Brief Biographical Sketch:

Not Available.

Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

M14024: Bayes, Bays, and Bacteria: Bayesian Pattern Discovery in Biological Systems in HSSP Summer 2020 (Jul. 11, 2020)
How can we use math to discover patterns in nature? Why might some patterns be difficult to decode, while others are more obvious? You may have learned about Bayes' Theorem in a high school statistics course. It turns out that this theorem has inspired (and largely enabled) a whole subfield of mathematics and statistics: Bayesian Analysis. In this course, we’ll go through the basics of Bayesian Analysis, an increasingly popular framework used in scientific research and as an underpinning for machine learning. We will demystify the relatively intuitive idea behind Bayesian Analysis, which will equip you for college courses in math and computer science. The fun part, though, will be diving into application areas in biology, including bacterial genetics and habitat modeling. Students of this course will gain solid mathematical skills while trying your hand at the wide world of mathematical biology.