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Hi, I'm Alex Loftus. I am a founder/CEO, ex-interpretability PhD student @ baulab, a graphstats textbook author, and a Kaggle competition winner. I am primarily interested in multi-agent safety, and have done work in interpretability, safety, and evaluation. Before this I worked as a data scientist, a machine learning engineer, and a master's student in biomedical machine learning at Johns Hopkins University.
the rental shortlist, mapped — hover a dot
1,211 scouted · $811–$2,900 · med $1,450
open →1,417 open · 7 labs · refreshed daily
open →co-authors, linked by papers — drag a node
142 researchers · 421 co-authorships
open →A retrieval-augmented chatbot, grounded in my CV, papers, and this site, answers questions about my work — try:
zai-glm-4.7 · RAG over my CV & papers
open the chat →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. If you want to go deeper, my submitted PhD thesis is available as a PDF.
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!
Set up a meeting with me here: calendly.com/alexloftus2004