SeekamiJim Fan @drjimfan
Jim Fan ranks #22 in the public Seekami AI Influence Top 100 and is classified as Researcher.
Who is Jim Fan?
Linxi “Jim” Fan completed his doctorate in Stanford’s Vision Lab with Fei-Fei Li. His research site describes a goal of building agents that can act in physical and virtual worlds and documents work at NVIDIA. MineDojo, Voyager, Eureka and VIMA provide different examples of this agenda, connecting multimodal inputs, learning and action.
Notable work and what to look for
Voyager studies agents accumulating skills in a game environment, while Eureka explores language-model-generated reward functions for learning robot skills. They help distinguish text generation from an agent improving behavior through environmental feedback. Read demonstrations alongside their task definitions and code, not only the most compelling video excerpt.
Interviews, work and further reading
These reading paths include interviews, first-person writing, institutional biographies and original research. Not every item is an interview.
- Jim Fan · Biography and research ↗
The personal site connects doctoral background with research projects.
jimfan.me - Voyager · Project page ↗
Research guide: examine how accumulated skills and environmental feedback form a learning loop.
voyager.minedojo.org
Explore related work
Seekami public ranking snapshot
Public research summary
| Field | Result |
|---|---|
| Rank band | Top 25 |
| Public category | Researcher |
| Useful signal | Research and model direction |
Peer position and reproducible findings
| Comparison | Result |
|---|---|
| Position in the public Top 100 | #22 of 100 |
| Researcher category position | #6 of 34 |
| Composite vs category average | +3.79 points (category average 89.05) |
| Strongest signal this release | Authority · 97.66 |
These findings describe relative position within the published snapshot. They support screening and verification, not inference about private attributes or future campaign results.
How to interpret the scores
The composite combines normalized public signals. Authority describes position in the public AI relationship network; public reach reflects observable scale; recent engagement reflects available activity signals in this release. Scores support relative comparison and are not ratings of truth, personal ability or campaign performance.
Creators nearby in the ranking
Source and limitations
This page uses the formal Seekami ranking snapshot. Profiles and public signals change, and rank is not a third-party endorsement. Read the methodology and data boundaries.