We have spent our careers in the lab and the fab
Matter42 is a team of physicists, semiconductor engineers, and AI builders. We have run $100M+ research programs, developed process technology at leading chipmakers, and built ML systems at scale. Now we are turning that experience into AI-native tools for materials characterization and growth.
How we work
One team across the full loop
Measure
Lab + fab
01Model
Physics + AI
02Build
Tools + systems
03Shared operating context
lab → model → product
Evidence
Measured
Reasoning
Reviewable
Output
Usable
Leadership
Founding team
Matthias Kling, PhD
Co-Founder
20+ years in advanced materials characterization. Ex-R&D director of $100M+ materials science programs. 500+ publications with ~20,000 citations.
LinkedIn
Thomas Linker, PhD
Co-Founder
Physicist specializing in multiscale simulation and ML. 8+ years in materials AI research with a focus on atomic-scale quantum materials control.
LinkedIn
Kamila Stepniowska
Founding Team Member, COO
AI and data science operations, 10+ years. Tech-industry and open-source partnership builder across GTM, community, and ecosystem.
LinkedInTeam
Deep expertise across the stack
Jonathan Leonard
Semiconductor Equipment Engineer
Semiconductor equipment engineering and process tooling
LinkedIn
Ali Al Kadhim, PhD
Research Engineer
ATLAS literature pipelines and database, AI, and simulations
LinkedIn
Bala Radhakrishnan, PhD
Head of Process Intelligence
Platform and simulation architecture for APOLLO
LinkedIn
Join us
Want to help build the future of materials research?
We are looking for materials scientists, scientific software builders, and applied ML engineers.