Announcement: PhysicsX Live Talk
|KUPACFrom Surrogates to Large Physics Models: Making AI-Native Engineering Work in Production
Speaker lineup has been updated due to availability. We are excited to welcome Amir Vaziri and Douglas Boubert from PhysicsX.
PhysicsX is an AI-native engineering company on a mission to accelerate innovation and overhaul what engineering and manufacturing look like today. The company is building a new software stack to deliver deep physics AI enablement across the entire engineering lifecycle.
PhysicsX partners with leading organizations in aerospace & defense, automotive, semiconductors, materials, and energy & renewables. Headquartered in the UK with offices in London and New York, PhysicsX has raised $187M to date -- including a $155M Series B backed by Atomico, Temasek, General Catalyst, NVIDIA, Siemens, and Applied Materials -- and was named one of the UK's fastest-growing technology companies in the 2025 Deloitte Technology Fast 50.
Event Overview
Engineering is undergoing a fundamental shift. AI is no longer a point solution for accelerating isolated simulations -- it is becoming a core layer of the engineering stack, reshaping how physical systems are designed, tested, and brought to production.
PhysicsX Head of Growth Amir Vaziri and Principal Research Scientist Douglas Boubert will share how PhysicsX is advancing beyond narrow, task-specific models toward Large Physics Models -- AI that generalizes across complex physical domains. Using external aerodynamics as a concrete example, the session will showcase a model trained across a large and diverse corpus of vehicle geometries that delivers real-time aerodynamic intelligence, adapts to new concepts with minimal fine-tuning, and compresses development cycles that once took months into weeks.
Douglas will walk through the core research advances underpinning this work, while Amir will connect it to a broader vision of AI-native engineering -- where design, simulation, and manufacturing form a seamless continuum, and physics AI augments human judgment at scale.
Event Details
Timetable
| Time | Language | Content | Duration |
|---|---|---|---|
| 17:00 - 17:10 | Japanese | Opening Remarks | 10 min |
| 17:10 - 17:50 | English | From Surrogates to Large Physics Models: Making AI-Native Engineering Work in Production | 40 min |
| 17:50 - 18:20 | Japanese & English | Open Discussion / Q&A | 30 min |
| 18:20 - 18:25 | English | Closing Lightning Talk | 5 min |
| 18:25 - | - | Networking Session (On-site only; a PhysicsX data scientist will be joining to meet attendees) | - |
Opening Remarks
From Surrogates to Large Physics Models: Making AI-Native Engineering Work in Production
Open Discussion / Q&A
Closing Lightning Talk
Networking Session (On-site only; a PhysicsX data scientist will be joining to meet attendees)
Japanese auto-captions will be available for all English-language sessions.
Speakers
Amir Vaziri
Head of Growth, PhysicsX
As Head of Growth at PhysicsX, Amir works at the intersection of physics AI and advanced engineering, partnering with global industrial leaders to compress development cycles, maximize product performance, and materially reduce cost and waste. He began his career as an engineer and went on to advise complex industrial organizations at McKinsey & Company, later joining QuantumBlack (AI by McKinsey), where he helped define AI strategy and lead end-to-end implementation across manufacturing and engineering environments. This combination of technical depth and hands-on AI transformation experience enables him to translate cutting-edge physics AI into measurable commercial and operational impact.
Douglas Boubert
Principal Research Scientist, PhysicsX
Douglas Boubert is a Principal Research Scientist at PhysicsX, a London-based start-up accelerating innovation with physical AI across advanced industries such as automotive, aerospace, clean energy, and silicon. In his former life as an astrophysicist he searched for the fastest stars in our Galaxy and minded the gaps in our largest map of the Milky Way.
Registration
To attend this event, please register using the form below. An online participation link will be sent upon registration. No prior knowledge is needed to enjoy this talk. Whether you are a student, a working professional, or simply curious about what it looks like to build at the frontier of AI and engineering, you are welcome to join.
Go to Registration Form