Maxwell De Jong


Wide

I am a theoretical biophysicist studying antibiotic resistance in microbial communities. My dissertation has focused on developing models that facilitate our understanding of the emergence and evolution of antibiotic resistance in spatially-structured environments. In addition to quantitative biology, I am interested in rigorously understanding and applying algorithms from data science and machine learning.


Project Spotlight

‌
‌

I created a toy model for evolution in spatially-connected microhabitats that shows that the spatial distribution of drugs has important ramifications for antibiotic resistance.

I trained a deep Q-network to learn how to play the card game Lost Cities. This distribution represents the expected utility from starting a new suit.

After creating a custom pipeline for recording game data, I trained a version of ResNet50 using imitation learning that was able to successfuly complete a non-trivial ski course in the game Steep.

‌