About Me

Hi, I’m Alex Loftus. I am a textbook author, kaggle competition winner, and PhD student with David Bau’s group. I am interested in understanding how we can use techniques from interpretability to understand training dynamics, steer large models at inference time, reduce hallucinations, and create truly customized systems. I have worked as a data scientist, a machine learning engineer, and as a master’s student in biomedical machine learning at Johns Hopkins University.

I’ve been fortunate to work with a number of brilliant people over the years. Here are some fun projects which resulted:

I have a number of academic side-interests, including spectral theory, information geometry, the history of science and mathematics, the mechanics of the visual system, constitutional law, various causal relationships between geography and history, and ethics (I am a big fan of Kant, Hume, Ross, and some modern ethicists like Susan Wolf). I am an avid traveler and am (slowly) learning Spanish.

Talks & Publications

Misc

I grew up in Seattle, WA. I was a competitive Starcraft 2 player in high school (grandmaster league - competed/won in seattle-area tournaments!). I studied behavioral neuroscience during my undergraduate years, with a philosophy minor focused on ethics. I got interested in math and programming and started a computational neuroscience club, where I taught weekly seminars. I also spent a lot of time partner dancing and playing guitar at open mic nights!

My girlfriend, Aina, is also in machine learning and we sometimes do research together. You can learn about her on her website: ainatersol.github.io.