Linus Hamilton is trying to understand
what makes neural networks tick. He graduated with a degree in mathematics from
Carnegie Mellon University, and is now enjoying MIT as a grad student. He wants
to give researchers guidelines to guess which problems are amenable to deep
learning. He also wants to invent tools to help researchers poke inside and
understand the neural networks they train.
When he's not doing math, you can find
Linus square-dancing, reading computer-generated poems, or designing games. You
can play a bullet-dodging computer game he created at www.linushamilton.com/obobobo.
You can also read his game-inspired complexity theory paper 'Braid is undecidable'
online. Linus grew up in College Park, Maryland.