science

Fast Grants Program

Catalyzing high-ambition pilot projects for early-career scientists or established researchers pivoting into ambitious new fields.

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Program Overview

Fast Grants are lightweight, fast-turnaround gifts for researchers who want to explore an idea at the intersection of AI and health — but lack the seed capital to try. We’ve heard that scientists cannot easily buy compute, model-training credits, dataset access, or coding-agent tokens through traditional grants. 

Fast Grants from the Biswas Family Foundation close that gap.

What We Fund

Fast Grants fund curiosity-driven projects connected to any of these themes:
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Training, fine-tuning, or evaluating models on biomedical data
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Exploring or assembling datasets that could unlock new clinical or biological insight
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Building AI tools or agents that scale a scientist's leverage
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Pilot experiments that de-risk a bigger funding ask
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Anything else where modest, fast capital meaningfully accelerates an AI or data-driven path to a health breakthrough

Our Commitment

The Biswas Family Foundation will sponsor two funding cycles per year, with up to $3M deployed annually in total gifts. Each cycle is intended to support:

20 projects with $25K

Small curiosity sprints (only tier open to undergraduates)

10 projects with $50K

Pilot experiments

5 projects with $100K

More ambitious projects

Projects We’d Love to See

We welcome projects aligned with the two research pillars described below, but we are also happy to fund projects that look nothing like these — as long as they fit the spirit of the Fast Grants Program.
Pillar 1 — AI-Driven Diagnostics and Prediction
  • Computational cardiology and stroke prevention
  • AI-enabled diagnostics that drop cost and raise frequency
  • AI for metabolic disease
  • Cancer early detection (especially open-source multi-cancer early detection)
  • Medical forecasting and multimodal risk
Pillar 2 — Personalized Therapeutics and Autonomous Research
  • Phage therapy and AI-designed therapeutics
  • Personalized cancer immunotherapy
  • AI scientists and autonomous research
  • AI epidemiology at scale
For globally deployable diagnostics or open-source platforms, we particularly value applications that include a path toward CE marking or WHO prequalification.

How to Apply

To keep the process efficient, we ask that your submission provide only a brief overview of the proposed project. Applications should be formatted as bullet points and will be capped at ~300 words. Decisions are based strictly on your written application. There is no interview round.

Grant Calendar

Cycle 1 opens 
May 15, 2026
Cycle 1 deadline 
June 15, 2026 | 11:59pm PT
Cycle 1 decision
July 1, 2026
Cycle 1 funded
~ August 1, 2026
Cycle 2 deadline
December 15, 2026 | 11:59pm PT
Cycle 2 decision
~ January 1, 2027
Cycle 2 funded 
~ February 1, 2027
Applications received between deadlines carry over to the next deadline — there is no closed window.

Frequently Asked Questions

Who is eligible for the Fast Grants program?

Researchers at any career stage across academic institutions worldwide are eligible. We particularly welcome:

  • Early-career faculty
  • Postdoctoral scholars
  • Graduate students
  • Undergraduates (with faculty sponsorship; $25K tier only)

Applicants must be affiliated with an institution eligible to receive a charitable gift from a US private foundation:

  • US institutions: any 501(c)(3) public charity in good standing — universities, non-profit research institutes, academic medical centers, qualifying hospitals; state or federal government instrumentalities (e.g., state university research foundations) are eligible.
  • Non-US institutions: must be a foreign equivalent — confirmed via active equivalency determination (NGOsource, etc.) or received via a US-based fiscal sponsor that is itself a 501(c)(3). If you're unsure, indicate this on your application — your sponsored programs office can usually answer in a single email.
  • For-profit companies, individual researchers receiving funds personally, and OFAC-sanctioned institutions are not eligible.

What is the award size and duration?

$25K, $50K, or $100K tiers in a single payment for a 12-month project period. 

Please note: Undergraduate applicants are eligible for the $25K tier only.

How is the application structured?

The application is designed to be low-friction and concise. Each section must be formatted in bullet points according to the following requirements:

  • Project Title
  • One-sentence summary A plain-language description of your project that we can publish on the BFF website if funded (≤200 characters) 
  • The question / idea What you want to explore and why it matters (3–5 bullets, ~50 words, 275 characters)
  • What you'll do The experiment/approach (3–5 bullets, ~50 words, 275 characters)
  • Why now / why this team Relevant background (2–3 bullets, ~30 words, 200 characters)
  • Budget Line items totaling $25k, $50k, or $100k; single payment; 12-month project period; indirect costs ≤ 15%. (~50 words, 275 characters)
  • Outputs What you intend to release publicly; sharing back is strongly preferred but not strictly required (1–2 bullets, ~20 words, 125 characters)
  • Brief bio Your role and institution, plus 2–3 representative pieces of work (3–4 bullets, ~80 words, 400 characters)

What are the conditions of the gift?

Required conditions: 

  • Indirect costs ≤ 15% 
  • 1-page written update at month 6 
  • Acknowledgment of the Biswas Family Foundation in research publications.

Strongly preferred:

  • Release of code, models, and/or datasets back to the community. We're not prescriptive about how — we want the work to compound for the field beyond the grant period.

What can the gift cover?

We offer a flexible “curiosity budget” and encourage applicants to propose their own line items. Budget items could include:

  • Cloud compute, GPU rentals, API or token credits
  • Dataset acquisition or licensing
  • Research assistant or trainee hours
  • Small reagents and consumables
  • Travel to disseminate results
  • Indirect costs capped at 15% (Foundation standard)