Jacob Steinhardt Portfolio
Associate Professor of Statistics and EECS at UC Berkeley (affiliated with BAIR) and Founder/CEO of Transluce, a nonprofit AI research lab; his site indexes peer-reviewed publications on ML robustness and alignment alongside a "Bounded Regret" blog on AI safety research strategy.
What makes it work
A breakdown of the choices that make this portfolio stand out.
A lab page that doubles as a mentorship record
Listing current student advisees with their own research profiles turns the homepage into a visible record of the researchers he's training, not just his own output.
Research strategy essays alongside technical publications
"AI Alignment Research Overview" and "Research as a Stochastic Decision Process" address how to choose and pursue research problems, a meta-level contribution beyond the object-level papers.
A second organization built to operationalize the research agenda
Founding Transluce as a nonprofit lab extends the academic research (understanding and correcting model behavior) into an organization built specifically to pursue it at a scale beyond a university lab alone.
What AI Researchers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
List your students or collaborators and their own work on your site — it shows the research program you're building, not just your individual output.
Occasionally write about how you choose and evaluate research problems, not only the results — it's a distinct and valuable form of expertise.
If an academic research agenda needs more resources than a university lab provides, consider what organizational structure would let it scale.
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