Houses
the rental shortlist, mapped — hover a dot
973 scouted · $850–$2,900 · med $1,587
open →
(conversations are logged)
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.
Recent Projects
Camp Sherman
A house and its surroundings, rebuilt in Blender from architectural drawings and Oregon terrain data.
Explore the house in 3D →Jobs
- AnthropicResearch Engineer, Cybersecurity RL (Reinforcement Learning)
- AnthropicAccount Executive, Startups
- OpenAIStrategy & Operations Lead - India
- OpenAIApplied AI Engineer, Codex | Tokyo
- OpenAIAccount Director, Digital Natives - Nordics
- OpenAISite Selection Lead
1,679 open · 7 labs · refreshed daily
open →Networks
co-authors, linked by papers — drag a node
141 researchers · 418 co-authorships
open →Ask me anything
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 designed and led a two-week internal project for a frontier lab, recruited 10 people, and built 17,000 lines of evaluation infrastructure in under two weeks. The project was successful enough that a follow-up occured, with double the team size.
- I'm a co-author of Agents of Chaos, which was covered by Science and WIRED, featured in Anthropic co-founder Jack Clark's Import AI, and went viral on X (millions of views).
- I helped organize the New England Mechanistic Interpretability (NEMI) conference to help build the interpretability community in the Northeast.
- I helped out with some work on Subliminal Learning, which got featured in a Welsh labs YouTube video
- I led the publication effort for NDIF, a large-scale AI interpretability infrastructure project, which led to a paper at ICLR.
- I've given talks for the San Diego Machine Learning meetup group, where I joined a team competing in the Vesuvius Ink Detection Kaggle Competition. We won 1st place against 1,249 teams for a competition prize pool of $100,000. Our work was featured in Scientific American!
- I worked with Professor Joshua Vogelstein in the Johns Hopkins Biomedical Engineering department on a pipeline to create graphs from MRI data, which led to a paper in-review at Nature Methods.
- We developed an open-source project, Graspologic, which was acquired by Microsoft and used to measure collaboration changes in their workforce during COVID.
- I made a linear algebra tutoring series for my friend, which builds up the mathematical machinery of neural networks starting from the absolute foundations: dot product geometry and linear algebra.
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 master's thesis is available as a PDF.
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!
Set up a meeting with me here: calendly.com/alexloftus2004