“I see the main goal of my work as reducing existential risk from AI, and I consider myself part of the Effective Altruism and rationality communities.”In their own words: neelnanda.io
Leads the mechanistic interpretability team at Google DeepMind; researches reverse-engineering the algorithms learned by neural networks.
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Received $247k from 3 funders
’22
’23
Checked 25 Oct 2026
Money flows
Where their money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.
Funded by
All grants
3 grants totalling $247k, newest first.
2023 2 grants · $122k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jul 2023 | Long-Term Future Fund | $52k | The grants database gives the following intended use of funds: "6 months of funding for Individual #8266 to work with me (Neel Nanda) on mechanistic interpretability research". From Vipul Naik's donations database (via OpenBook) source |
| Jan 2023 | Navigating Transformative AI | $70k | Grant "to Neel Nanda to support his independent research on interpretability. His work is aimed at improving human understanding of neural networks and machine learning models.". From Vipul Naik's donations database (via OpenBook) source |
2022 1 grant · $125k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jun 2022 | FTX Future Fund | $125k | Regrant (recommended by an FTX regrantor): A year of salary, an RA and compute for independent AI safety research source |