A center using AI to control cell manufacturing processes — NSF AI grant $4.83M (University of Puerto Rico Mayaguez, EPSCoR)
NSF awarded about $4.83 million to "E-RISE: Center for AI-Driven Bioprocess Control for Cell Manufacturing," centered at the University of Puerto Rico Mayaguez. The estimated total is about $6.5 million, running from August 2026 to July 2030.
Grant overview (primary data)
- Award amount$4,829,368 / Est. total $6,499,063
- RecipientUniversity of Puerto Rico Mayaguez (PR)
- ProgramEPSCoR RII: E-RISE
- Period2026-08-15 〜 2030-07-31
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- NSF Award 2546505, "E-RISE: Center for AI-Driven Bioprocess Control for Cell Manufacturing," to the University of Puerto Rico Mayaguez (PR).
- The theme is controlling cell manufacturing with AI — stabilizing a biologically derived process whose quality varies.
- Program: EPSCoR RII: E-RISE, NSF's framework for strengthening research capacity where its funding reaches less.
- Obligated $4,829,368 against an estimated total of $6,499,063 — obligated in stages across years.
- Period: August 15, 2026 to July 31, 2030. "Collaborative Research" indicates several institutions.
- Cell manufacturing drifts even under the same procedure, and the impossibility of fixing conditions in advance is what calls for AI-based control.
1What it means to manufacture cells
Cell manufacturing refers to producing cells used in therapy at a consistent quality. Because the subject is alive, small differences in temperature, oxygen, nutrients, or pH show up in the result, and the same procedure can yield varying output. Bioprocess control is the practice of measuring and adjusting those conditions to stabilize quality. This award brings AI into that work.
2The EPSCoR framework
EPSCoR, named in the program field, is NSF's framework for strengthening research capacity in states and jurisdictions that receive comparatively smaller shares of NSF funding. That the recipient is the University of Puerto Rico Mayaguez and that the award is designated Collaborative Research across several institutions both reflect the character of that framework: building capacity in place rather than concentrating it.
3Obligated funds and estimated total
Obligated funds are $4,829,368 against an estimated total of $6,499,063. Multi-year awards record only what has been provided so far as obligated. The specific plan is not in this dataset, which carries no abstract, so consult the official NSF page (Award 2546505).
4Machining metal and growing living things differ
The word control stays the same while the difficulty changes with the material. Machining gives the same shape from the same drawing and the same tool. Cells, run through the same procedure, still drift, because small differences in temperature, oxygen, nutrients and pH carry into the result.
The reason for bringing AI in sits on the right. Where the best conditions cannot be settled beforehand, something has to decide from measured values how to move next — which is why bioprocess control is where AI is being asked for.
Why it matters
In regenerative medicine and cell therapy, reproducibility of quality is the largest barrier to practical use. Research that embeds AI in the measure-and-adjust control of process conditions is directly relevant to makers of production equipment, sensors, and data platforms, and a regionally anchored center is also a starting point for finding collaborators.
FAQ
What is cell manufacturing?
What is EPSCoR?
Why do obligated and estimated amounts differ?
Sources (primary)
Source: NSF Award Search (U.S. National Science Foundation, public domain). Amounts are the obligated amount. For privacy, we do not handle principal investigator names.
- NSF Award (original, official)
- NSF Award ID: 2546505