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  • Atlas Metrology
  • Atlas Physics AI

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Team

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.

  • Materials physics
  • Semiconductor engineering
  • Applied AI

Founding team

Matthias Kling, PhD

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

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

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.

LinkedIn

Deep expertise across the stack

Kalai Ramea, PhD

Kalai Ramea, PhD

Chief AI Officer

ATLAS AI framework, UI, and user support

LinkedIn
Michael Curtis, PhD

Michael Curtis, PhD

Materials Scientist

MOCVD expert, 2D materials and device R&D

LinkedIn
Srikar Jandhyala, PhD

Srikar Jandhyala, PhD

VP of Product

Semiconductor technology and business strategy

LinkedIn
Bala Radhakrishnan, PhD

Bala Radhakrishnan, PhD

Head of Process Intelligence

Process modeling and simulation architecture

LinkedIn
Ali Al Kadhim, PhD

Ali Al Kadhim, PhD

Research Engineer

ATLAS literature pipelines and database, AI, and simulations

LinkedIn
Matt Moderwell

Matt Moderwell

Founding Engineer

ATLAS simulations, AI framework, and scaling

LinkedIn
Kirtana Romfh

Kirtana Romfh

Multiscale Simulation Engineer

Reactor-scale simulation for materials growth

LinkedIn

Want to help build the future of materials research?

We are looking for materials scientists, scientific software builders, and applied ML engineers.

See careers
Matter42

A world model for your materials: know what you made and decide what to make next, with the evidence attached.

Platform

  • Atlas Metrology
  • Atlas Physics AI
  • Literature

Software

  • Raman analysis
  • PL analysis
  • XPS analysis
  • XRD analysis
  • AFM analysis

Company

  • Vision
  • Team
  • Careers
  • Blog

Resources

  • Documentation
  • Python SDK
  • Security and deployment
  • FAQ

Legal

  • Privacy Policy
  • Terms and Conditions

Social

  • LinkedIn

Copyright © 2026 Matter42. All rights reserved.

Matter42
  • Vision
Sign in

Matter42 Atlas

  • Atlas Metrology
  • Atlas Physics AI

Resources

  • Security
  • FAQ
  • Documentation
  • Python SDK

Company

  • Team
  • Careers
  • Blog
Vision
Sign in
Team

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.

  • Materials physics
  • Semiconductor engineering
  • Applied AI

Founding team

Matthias Kling, PhD

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

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

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.

LinkedIn

Deep expertise across the stack

Kalai Ramea, PhD

Kalai Ramea, PhD

Chief AI Officer

ATLAS AI framework, UI, and user support

LinkedIn
Michael Curtis, PhD

Michael Curtis, PhD

Materials Scientist

MOCVD expert, 2D materials and device R&D

LinkedIn
Srikar Jandhyala, PhD

Srikar Jandhyala, PhD

VP of Product

Semiconductor technology and business strategy

LinkedIn
Bala Radhakrishnan, PhD

Bala Radhakrishnan, PhD

Head of Process Intelligence

Process modeling and simulation architecture

LinkedIn
Ali Al Kadhim, PhD

Ali Al Kadhim, PhD

Research Engineer

ATLAS literature pipelines and database, AI, and simulations

LinkedIn
Matt Moderwell

Matt Moderwell

Founding Engineer

ATLAS simulations, AI framework, and scaling

LinkedIn
Kirtana Romfh

Kirtana Romfh

Multiscale Simulation Engineer

Reactor-scale simulation for materials growth

LinkedIn

Want to help build the future of materials research?

We are looking for materials scientists, scientific software builders, and applied ML engineers.

See careers
Matter42

A world model for your materials: know what you made and decide what to make next, with the evidence attached.

Platform

  • Atlas Metrology
  • Atlas Physics AI
  • Literature

Software

  • Raman analysis
  • PL analysis
  • XPS analysis
  • XRD analysis
  • AFM analysis

Company

  • Vision
  • Team
  • Careers
  • Blog

Resources

  • Documentation
  • Python SDK
  • Security and deployment
  • FAQ

Legal

  • Privacy Policy
  • Terms and Conditions

Social

  • LinkedIn

Copyright © 2026 Matter42. All rights reserved.

Matter42
  • Vision
Sign in

Matter42 Atlas

  • Atlas Metrology
  • Atlas Physics AI

Resources

  • Security
  • FAQ
  • Documentation
  • Python SDK

Company

  • Team
  • Careers
  • Blog
Vision
Sign in
Team

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.

  • Materials physics
  • Semiconductor engineering
  • Applied AI

Founding team

Matthias Kling, PhD

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

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

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.

LinkedIn

Deep expertise across the stack

Kalai Ramea, PhD

Kalai Ramea, PhD

Chief AI Officer

ATLAS AI framework, UI, and user support

LinkedIn
Michael Curtis, PhD

Michael Curtis, PhD

Materials Scientist

MOCVD expert, 2D materials and device R&D

LinkedIn
Srikar Jandhyala, PhD

Srikar Jandhyala, PhD

VP of Product

Semiconductor technology and business strategy

LinkedIn
Bala Radhakrishnan, PhD

Bala Radhakrishnan, PhD

Head of Process Intelligence

Process modeling and simulation architecture

LinkedIn
Ali Al Kadhim, PhD

Ali Al Kadhim, PhD

Research Engineer

ATLAS literature pipelines and database, AI, and simulations

LinkedIn
Matt Moderwell

Matt Moderwell

Founding Engineer

ATLAS simulations, AI framework, and scaling

LinkedIn
Kirtana Romfh

Kirtana Romfh

Multiscale Simulation Engineer

Reactor-scale simulation for materials growth

LinkedIn

Want to help build the future of materials research?

We are looking for materials scientists, scientific software builders, and applied ML engineers.

See careers
Matter42

A world model for your materials: know what you made and decide what to make next, with the evidence attached.

Platform

  • Atlas Metrology
  • Atlas Physics AI
  • Literature

Software

  • Raman analysis
  • PL analysis
  • XPS analysis
  • XRD analysis
  • AFM analysis

Company

  • Vision
  • Team
  • Careers
  • Blog

Resources

  • Documentation
  • Python SDK
  • Security and deployment
  • FAQ

Legal

  • Privacy Policy
  • Terms and Conditions

Social

  • LinkedIn

Copyright © 2026 Matter42. All rights reserved.

Matter42
  • Vision
Sign in

Matter42 Atlas

  • Atlas Metrology
  • Atlas Physics AI

Resources

  • Security
  • FAQ
  • Documentation
  • Python SDK

Company

  • Team
  • Careers
  • Blog
Vision
Sign in
Team

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.

  • Materials physics
  • Semiconductor engineering
  • Applied AI

Founding team

Matthias Kling, PhD

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

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

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.

LinkedIn

Deep expertise across the stack

Kalai Ramea, PhD

Kalai Ramea, PhD

Chief AI Officer

ATLAS AI framework, UI, and user support

LinkedIn
Michael Curtis, PhD

Michael Curtis, PhD

Materials Scientist

MOCVD expert, 2D materials and device R&D

LinkedIn
Srikar Jandhyala, PhD

Srikar Jandhyala, PhD

VP of Product

Semiconductor technology and business strategy

LinkedIn
Bala Radhakrishnan, PhD

Bala Radhakrishnan, PhD

Head of Process Intelligence

Process modeling and simulation architecture

LinkedIn
Ali Al Kadhim, PhD

Ali Al Kadhim, PhD

Research Engineer

ATLAS literature pipelines and database, AI, and simulations

LinkedIn
Matt Moderwell

Matt Moderwell

Founding Engineer

ATLAS simulations, AI framework, and scaling

LinkedIn
Kirtana Romfh

Kirtana Romfh

Multiscale Simulation Engineer

Reactor-scale simulation for materials growth

LinkedIn

Want to help build the future of materials research?

We are looking for materials scientists, scientific software builders, and applied ML engineers.

See careers
Matter42

A world model for your materials: know what you made and decide what to make next, with the evidence attached.

Platform

  • Atlas Metrology
  • Atlas Physics AI
  • Literature

Software

  • Raman analysis
  • PL analysis
  • XPS analysis
  • XRD analysis
  • AFM analysis

Company

  • Vision
  • Team
  • Careers
  • Blog

Resources

  • Documentation
  • Python SDK
  • Security and deployment
  • FAQ

Legal

  • Privacy Policy
  • Terms and Conditions

Social

  • LinkedIn

Copyright © 2026 Matter42. All rights reserved.