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About
Startups
Research
Projects
Interests
Hello, my name is Peter Bowman-Davis. I am an experienced startup founder and software engineer. I have served a variety of roles and led technical teams in complex projects. The software I have written may be found at scales ranging from bare-metal microcontrollers to globally distributed webapplications. I thrive under pressure and work best in fast-paced environments.
Currently:
- Engineering Fellow @ a16z
Education: B.S., Yale Physics 2026, Currently on LOA
Previous Employers: Saronic, 8VC, UCSF, Halborn
Languages:
- Python: Torch, Jax, Numpy, Pandas, Matplotlib
- Rust and C
- JS, TS: React
I most recently built StackAccel, a CRM for teams selling to blockchain companies.
Previously, I built Politeia - a blockchain signals intelligence startup - which was acquired by Halborn Cybersecurity in 2022.
Published and forthcoming research:
- Conflicting Expectations: Convergence and Chaos in Simple High-Dimensional Games
- Cyclical Electromechanical Error Denial System Using Matrix Profile
- Solving IVPs with Physics-Informed-Neural-Networks
- LLM Numerical Bias Investigation
- VectorBridge: A Robust Technique for Cross-Model Embeddings Translation
Projects I am currently working or completed include:
- LLM Numeric Bias Investigation.
- Physics-Informed-Neural-Network Demos.
- PreImage - CLI tool for Python dependency optimization.
- EdgeEmbed: Embeddings models run at the network edge for lowest-latency vector search.
- World models, neural simulation, and model-based RL.
- National security, defense technology, and OSINT.
- High-performance + lightweight ML: edge inference, model quantization, digital signals processing.
- Product and interface design (Bauhaus School, Dieter Rams, Teenage Engineering).
- Diffusion and flow-based modelling.
- Controls, planning, and mechatronics engineering.
Peter Bowman-Davis 2023