Trace

Zhijing Jin

organization

Technical AI safety research

Received
$2,475,200
from 4 funders
Grants
5
Funders
4
Years active
2022–26

Grants over time

$0$500K$1.0M$1.5M20252026

Biggest funders

UK AI Security Institute$1,179,00048%2
Coefficient Giving$926,20037%1
Schmidt Sciences$370,00015%1

Grants received

DateFunderViaAmountCauseSourcePurpose
Feb 19, 2026UK AI Security InstituteUniversity of Toronto~$589,500*Technical AI safety researchuk_aisiFormal verification and Empirical Testing of Translucency in Multi-Agent AI Systems — led by Zhijing Jin. — Alignment Project
Feb 19, 2026UK AI Security InstituteUniversity of Toronto~$589,500*Technical AI safety researchuk_aisiGame-Theoretic Safety Guarantees for Advanced AI Systems — led by Zhijing Jin. — Alignment Project
Oct 2025Coefficient GivingUniversity of Toronto$926,200Technical AI safety researchcoefficient_givingAI Safety Research Projects (Zhijing Jin)
Feb 11, 2025Schmidt Sciences~$370,000Interpretabilityschmidt_sciencesProject: Mechanistic Interpretability to Detect Test Set Contamination. One of 27 AI Safety Science awards totaling $10M+; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort)
2022Future of Life InstituteTraining pipelinesfliPhD Fellow, Class of 2022 — University of Toronto (as listed by FLI). Per-fellow total not published. — Vitalik Buterin PhD Fellowship

* UK AISI reported a total of 27m GBP over 60 projects, so estimating each of them at the average grant size.

Estimated from Schmidt Sciences' reporting of total given out in the funding round; grant-level amounts were not provided.