About
Hello, I'm Gabe Mukobi! I am a Stanford M.S. student in Computer Science building a career in AI safety, alignment, and governance research. Additionally, as an AI safety field-builder, I lead the Stanford AI Alignment student group and research community.
Currently, my research focuses on technical AI governance, or AI/ML research that improves AI safety but isn't alignment or capabilities. Particularly, I've been working on evaluating, red teaming, and preventing the misuse of language model systems. Read my research agenda here.
My other interests include animal welfare, games, music, film, 3D art, photography, virtual reality, fantasy, and tea!

Highlighted Publications:
Gabriel Mukobi*, Hannah Erlebach, Niklas Lauffer, Lewis Hammond, Alan Chan, Jesse Clifton
In review at ICLR 2024, accepted to the SoLaR NeurIPS 2023 workshop.
Gabriel Mukobi*, Ann-Katrin Reuel*, Juan-Pablo Rivera*, Max Lamparth, Chandler Smith, Jacquelyn Schneider
Accepted to the MASEC NeurIPS 2023 workshop, for submission to ACL 2024.
Gabriel Mukobi*, Peter Chatain*, Su Fong*, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti
Accepted to the SoLaR NeurIPS 2023 workshop.
In-Progress Publications:
Ziyue Wang*, Reagan Lee*, Mira Bali*, Charlie Cheng-Jie Ji*, Gabriel Mukobi, Anka Reuel, Mykel Kochenderfer
For submission to ICML 2024.
Portfolio Sites

Software Portfolio
Come to my software development portfolio to see some of the AI projects, games, websites, and desktop software I create!
Digital 3D Art
My ArtStation portfolio is where I post 3D art made with Blender, Houdini, Unreal Engine, and more!


Photography
A minimalistic photography portfolio arranged in a neat dynamic grid layout.
Mukobi Music
A website for anything regarding the musical side of me, including information about my music, groups I've played with, and more.


Film
A minimalistic film portfolio to highlight short films, video essays, and other motion picture works I've made.
Contact
Please use one of the following methods to contact me. I will try to get back to you as soon as possible!
Email: [email protected]
LinkedIn: LinkedIn Profile
GitHub: GitHub Profile
Calendly: Schedule a Meeting
Feedback: Send Anonymously