Press & Media
Media Kit
Resources for journalists, podcast hosts, event organizers, and anyone writing about AI safety, CBRN risk, computational materials, or chemistry education.
Short Bio
Kevin Braza is a CBRN AI safety scientist and computational materials researcher. He works at Reinforce Labs evaluating frontier AI models for chemical, biological, radiological, and nuclear misuse potential, and has previously done scientific model evaluation at xAI and OpenAI. He holds a B.S. in Chemistry from UC Santa Barbara and is an incoming Chemical Engineering PhD student at UC Irvine, where his research will focus on computational modeling and AI-driven design of dental and biomedical materials.
He holds an MBA from Quantic and a secondary mathematics teaching credential from LMU.
As a private academic mentor, Kevin works with a small number of families on long-term academic stewardship — from competition chemistry and standardized testing to research mentorship and university admissions strategy. He was previously faculty at Villanova Preparatory School and is the #1-rated tutor on Schoolhouse.world with 250+ sessions.
Feel free to use or adapt this bio for print, podcast, or event listings.
Key Facts
Background
B.S. Chemistry, UCSB · MBA, Quantic · Teaching Credential, LMU
Current Role
CBRN AI Safety Scientist, Reinforce Labs
Incoming
PhD Chemical Engineering, UC Irvine (Fall 2026)
Prior AI Work
xAI Human Data Team · OpenAI AI Trainer
Teaching
Villanova Preparatory School Faculty · 250+ Schoolhouse.world sessions
Research Areas
AI Safety · CBRN Risk · Adversarial Evaluation · Computational Materials
Available to Speak On
AI Safety & CBRN Risk
How frontier models are evaluated for chemical and biological misuse potential. What the red lines are and why they matter.
Chemistry Education
Teaching chemistry at the competition and research level — USNCO, IChO, undergraduate preparation. What separates students who excel from those who plateau.
The Future of Private Academic Mentorship
Why the hour-by-hour tutoring model is broken and what long-term academic stewardship actually looks like.
Scientists in AI
What domain expertise adds to AI safety evaluation, and why training more chemists, physicists, and biologists to work in AI matters.
Press Contact
For media inquiries, interview requests, or speaking invitations:
kevindoeschemistry@gmail.com