Konstantin
Neureither
Researcher and engineer at the seam of artificial intelligence and computational physics - teaching machines the laws of nature, from molecules to fusion plasmas.
Where computation meets the physical world
I am a computational scientist and engineer working on next-generation AI. My work lives at the intersection of machine learning and physics - using modern AI to model systems that classical computation struggles to reach, and using physical principles to make AI more grounded and trustworthy.
I recently completed an M.Sc. in Computational Science and Engineering at TU Munich and an honors degree from the CDTM, the elite entrepreneurship and technology program run jointly by TUM and LMU. Today I am in Palo Alto as a J-1 research scholar, carrying that foundation into the heart of the AI ecosystem.
From molecular machine-learning potentials to plasma simulations for fusion, I am drawn to the hardest problems where the right model can change what is computable - and what is possible.
Next-generation AI
Building frontier AI systems at Interaction.co, exploring how models reason, plan, and interact.
Physics-informed ML
Embedding physical law into learning - molecular ML potentials that respect the chemistry they model.
Fusion energy
Particle-in-Cell simulations and the hydrogen problem, in pursuit of clean fusion power.
High-performance computing
Scaling scientific code across accelerators and clusters - an early, hands-on AI adopter.
Building AI that respects the laws of physics
From a Silicon Valley AI lab to a national accelerator facility, my work connects machine learning with the hardest problems in computational science.
Intern & J-1 Research Scholar
2025 - PresentInteraction.co·Palo Alto, CAWorking on next-generation AI at The Interaction Company of California - contributing to frontier systems that push the boundaries of how machines reason and interact.Frontier AIResearchEngineeringVisiting Researcher
Mar - Oct 2025Stanford University & SLAC National Accelerator Laboratory·Stanford, CAResearch under Professor Siegfried Glenzer bridging cutting-edge computational physics and machine learning - physics-informed AI, molecular ML potentials, and Particle-in-Cell (PIC) simulations applied to the hydrogen problem in fusion energy.Physics-informed AIPIC simulationsFusion energyML potentialsFounder - GNgraphy
Side ventureGNgraphy.de·IndependentAn entrepreneurial creative venture specializing in high-end photography, digital media production, and artistic projects - bridging the gap between technical precision and creative expression.PhotographyDigital mediaEntrepreneurship
A foundation across science, computing, and innovation
Trained in Munich at the intersection of rigorous computational science and entrepreneurial technology leadership.
M.Sc. Computational Science and Engineering
Completed Oct 2025Technical University of Munich (TUM)·Munich, GermanyGraduated with a final grade of 1.0 - the top mark in the German grading system. An interdisciplinary program uniting numerical methods, high-performance computing, and applied machine learning across the physical sciences.Grade 1.0HPCNumerical methodsApplied MLHonors Degree in Technology Management
2022 - 2024Center for Digital Technology and Management (CDTM)·Munich, GermanyA highly selective elite program run jointly by TUM and LMU Munich, focused on technology and innovation. Trained alongside Europe's top engineering and entrepreneurial talent to build and lead at the frontier of digital technology.Selective cohortEntrepreneurshipInnovationM.Sc. Applied and Engineering Physics
M.Sc.Technical University of Munich (TUM)·Munich, GermanyFocused on ultrafast on-chip electronics, semiconductor physics, data science, and computational physics - bridging fundamental physics with high-performance engineering applications.Semiconductor physicsUltrafast electronicsComputational physicsData scienceB.Sc. Physics
2017 - 2020University of Heidelberg·Heidelberg, GermanyA rigorous grounding in the foundations of modern physics - the theoretical and experimental bedrock for everything that followed.FoundationsExperimental physicsTheory
What keeps me curious
The same drive that pulls me toward hard computational problems shows up away from the screen.
High-performance computing
A lifelong tinkerer with compute - and an early, enthusiastic adopter of AI long before it became mainstream.
Classical opera
Off the keyboard, you will often find me in the concert hall. There is a structure and grandeur to opera that mirrors a well-posed problem.
Backcountry mountaineering
Backcountry hiking and alpine routes - including Yosemite and the cables of Half Dome. The mountains keep the work in perspective.
Rhythm has been a constant alongside the science - on the kit, in the orchestra pit, and in the choir loft.
Drums
Drummer for Litoworship and ICF Munich - keeping time for live worship every week.
Orchestral percussion
Extensive orchestral experience as a percussionist, including the Junge Philharmonie Neckartal Odenwald.
Choir
Choral experience singing with the University Choir Heidelberg.