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I am currently a Member of Technical Staff at OpenAI.

I’m working on code generation - getting LLMs to write better code.

Update: Check out my new blog on Robotics Foundation Models.

Startups

I angel invest in and advise promising startups. Reach out if you want to talk tech and startup strategy.

Current:

• Synthefy
• SyLogic

Previous:

• Voxel AI

Summary

I am a researcher and engineer investigating core problems in artificial intelligence, cognition, and sensing.
I target applications in computer vision, robotics, and natural language.
I work on frontier technologies, creating new IP and original research.
I transfer tech from lab to product.

Contact me to turn your once-in-a-lifetime moonshot into reality.

Previous Collaborators

I worked with Ken Stanley and Joel Lehman at OpenAI on Open-Ended algorithms. I contributed to the Evolution through Large Models (ELM) paper.

I was mentored by Greg Yang at Microsoft Research on general purpose methods for efficient training and inference in NNs via approximate tensor operations. I am increasingly interested in genetic algorithms and feedback alignment – alternatives to backprop.

I worked with Hamid Palangi and Yonatan Bisk, investigating Transformer models’ temporal reasoning ability.

At Uber ATG (now Aurora) I worked with a bunch of people on perception, localization, calibration, and lidar.

I was advised by Antonio Torralba at MIT, and worked closely with PhD candidate Xavi Puig (now at FAIR).

I interned at Google Fiber (2014) where I worked with Denny Gentry and Avery Pennarun.

George Hotz offered me an intership one time.

Web Presence

• GitHub
• LinkedIn
• Google Scholar
• X/Twitter (rarely used)

Work History

If you’re interested in my work history, try my resume or my LinkedIn.