The goal of Recurse ML is to make shipping reliable code fast and fun. To do this, we are on the quest to build the best bug identification models in the world. Our product is a GitHub App that identifies bugs in PRs (have a look). We differentiate from other code-review tools by focusing on hard to find bugs.
Co-Founder (ex-DPhil, ex-R&D Lead, xoxo-Gossip Girl)
Looking back, I’ve always worked on really weird things. I’ve ran social simulations of nation state level disinformation campaigns on social media, operated (what at the time was) the largest deepfake honeypot in the UK, and done real-time psychoanalysis of fraudster behaviours.
I’ve now moved away from annyoing people with offensive cybersec, and now try to actually help them. My favourite thing to do at Recurse is look at the comments users leave in response to our bot. Some people talk to it like it’s a pet dog, and I’m all for it! **🐕** “good bot”
Outside of work I:
Definitely not a pint glass at the bottom.
Co-Founder (ex-ML@Boclips, ex-Bloomberg, Cam MPhil)
I’ve built many cool things, including the winning disease prediction model for the US military and the first GNN to predict edges in DAGs.
Compared to these, working on Recurse excites me the most for three reasons:
My face when skimming through either traffic or well-generated code.
My life in a meme:
Founding ML Engineer (ex-Barclays, ex-PolyAI)
If it sounds cool, I’ve probably worked on it. AI voice assistants (before Her came out), YouTube-crawling misinformation-spreading (for educational purposes of course) agents, automated trading bots (no, they did not make me rich).
What Recurse has given me that my previous projects have not is the promise of the future of software engineering. We value the human brain above all, we use artificial ones to make its job easier. In my free time:
We are backed by Europe’s best VCs, including: