Funders › NY › New York STEM Cell Foundation Inc › 2022
Grants paid by New York STEM Cell Foundation Inc, tax year 2022
EIN 20-2905531 · New York, NY · Form 990, Schedule I · NTEE H20
In tax year 2022, New York STEM Cell Foundation Inc (EIN 20-2905531) reported 27 grants paid totaling $8,358,750. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Stanford University Menlo Park, CA | A | $900,000 | paid | GRANT | 202331319349304468 |
| 2022 | Princeton University Princeton, NJ | A | $900,000 | paid | GRANT | 202331319349304468 |
| 2022 | Massachusetts General Hospital Boston, MA | A | $600,000 | paid | GRANT | 202331319349304468 |
| 2022 | Boston's Children Hospital Boston, MA | A | $600,000 | paid | GRANT | 202331319349304468 |
| 2022 | University of Washington Seattle, WA | A | $600,000 | paid | GRANT | 202331319349304468 |
| 2022 | Harvard University Boston, MA | A | $600,000 | paid | GRANT | 202331319349304468 |
| 2022 | University of California Los Angeles Los Angeles, CA | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | Northwestern University Evanson, IL | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | California Institute of Technology Pasadena, CA | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | Columbia University New York, NY | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | New York University New York, NY | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | University of Texas Southwestern Medical Dallas, TX | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | University of California Berkeley Berkeley, CA | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | Nyu Grossman School of Medicine Boston, MA | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | The Regents of the University of California Oakland, CA | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | Yale University New Haven, CT | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | University of North Carolina at Chapel Hill Chapel Hill, NC | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | The Brigham and Women's Hospital Boston, MA | A | $300,000 | paid | GRANT | 202331319349304468 |
| 2022 | Columbia University New York, NY | A | $122,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | Cornell University Ithaca, NY | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | Rockefeller University New York, NY | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | Memorial Sloan - Kettering Cancer Center New York, NY | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | University of Pennsylvania Philadelphia, PA | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | Harvard University Boston, MA | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | New York Medical College Valhalla, NY | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | Stanford University Menlo Park, CA | A | $61,000 | paid | FELLOWSHIP | 202331319349304468 |
| 2022 | Yale University New Haven, CT | A | $9,750 | paid | FELLOWSHIP | 202331319349304468 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.