Scientific computing proposal consulting.
Independent review from a consultant who spent eight years managing almost $300M in scientific-computing research at DOE ASCR.
Scientific computing proposals need a reader who knows the field.
Scientific computing is where applied mathematics, high-performance computing, scientific machine learning, and data analysis meet — and where scientific proposals often try to cover too much. Reviewers in this space want to see a specific, feasible piece of work that advances the state of the art without over-promising.
Dr. Spotz co-led the applied mathematics program at DOE ASCR for eight years and has been in the scientific computing community for more than thirty. He can tell quickly where a proposal's technical case is strong, where it needs sharpening, and where it will trip reviewers who know the field well.
How the engagement works.
- Domain-informed read of your scientific computing proposal.
- Feedback on technical framing across applied math, HPC, SciML, and data analysis.
- Reviewer-perspective notes on scope, feasibility, and originality.
- Live debrief session to walk through the written recommendations.
- Optional pre-submission read before your deadline.
Ready to strengthen your next proposal?
Reach out to Dr. Spotz to discuss your funding opportunity and how the program manager's perspective can sharpen your submission.