CDFAM NYC 2025 Program Announced
Featuring Keynote Presentations by NVIDIA & MIT
The program for CDFAM NYC 2025 is now confirmed. Building on the ongoing series of CDFAM events, this year’s symposium continues to examine how accelerated computation and artificial intelligence are reshaping design and engineering.
The program connects advances in material discovery, computational methods, and applied practice across industries and scales, from architected materials to architectural systems.
Keynote Presentations
Two keynote presentations will establish the foundation for two days of discussion:
- Ian Pegler – NVIDIA will present on how accelerated computing and AI surrogate models enable higher-fidelity simulation and real-time digital twins, transforming workflows in aerospace, automotive, energy, and marine sectors through NVIDIA’s integrated software and hardware platforms.
- Markus J. Buehler – MIT will explore AI as an active partner in scientific discovery, introducing reinforcement learning, graph-based reasoning, and multi-agent systems that design new materials and reveal hidden structure–property relationships in both engineering and biology.
Together, these perspectives frame the connections between fundamental advances in materials, software, hardware, and data infrastructures with the applied presentations that follow.
Themes and Presentations
AI and Machine Learning in Engineering
AI and machine learning are moving from research environments into applied engineering workflows. Presentations in this track illustrate both the technical progress and the current limitations of these methods:
- PhysicsX (Markus Huntington) will show how an AI-native engineering stack built on Large Physics and Geometry Models and adaptive workflows is redefining the engineering lifecycle, linking design, simulation, optimization, and manufacturing into a seamless process.
- C-Infinity (Sai Nelaturi) will present on automating the translation between design and manufacturing structures through assembly configuration spaces, improving reuse and digital-to-physical integration.
- Neural Concept (Luca Zampieri) will demonstrate how deep learning models are integrated with CAD and simulation to deliver rapid engineering feedback.
- Pasteur Labs (Alexander Lavin) will present on the “unreasonable effectiveness of simulation intelligence,” exploring how simulation-based methods provide a foundation for AI in design and discovery.
- Matt Shomper will show how CT scans can be automatically converted into intelligent anatomical models using machine learning, including automated tagging of key features for applications in surgical planning and patient-specific implants.
- Carnegie Mellon University (Chris McComb), McGill University (Fiona Zhao), and University of Southern California (David Gerber) will present academic perspectives on explainability, human–AI collaboration, and the design of ML systems for engineering use.
Software and Computational Methods
These sessions examine how software environments define what is possible in design:
- nTop (Bradley Rothenberg) will present workflows for implicit modeling and design automation.
- ToffeeX (Marco Pietropaoli) will demonstrate explainable generative design methods for engineering applications.
- Intact Solutions (Neel Kumar) will show CAD-integrated lattice systems and simulation pipelines.
- Novineer (Ali Tamijani) will cover approaches for optimization-driven aerospace design.
- FlexCompute (Qiqi Wang and Gregory Roberts) will introduce GPU-native simulation platforms and their impact on scalability.
Architected Materials and Processes
Research at the interface of geometry and material science shows how programmable structures are developed and manufactured:
- MIT (Alfonso Parra Rubio) will present origami-based approaches to architected materials and deployable structures.
- Princeton University (Tuo Zhao) will share work on kirigami systems with tunable properties.
- TetMet (Rachel Azulay) will show design pipelines for metamaterials with customized mechanical response.
- Scawo3D (Philip Schneider) will demonstrate applications in additive manufacturing of lattice and cellular materials.
- Foldstar (Dan Kling) will explore the translation of foldable systems into industrial production contexts.
Consumer Products and Wearables
Computational pipelines are increasingly used in consumer industries to enable personalization at scale:
- New Balance (Samuel Whitworth) will discuss computational footwear design and automated fitting.
- Puma Group / Moon Rabbit Lab (Jesus Marini) will present performance lattices for sports footwear.
- Carbon (Andrew Sink) will show how lattice optimization and digital fabrication are used in mass customization.
- VARIANT3D (Will Samosir) will present textile simulation methods for apparel design.
- Harman International (Austin Mitchell) will discuss acoustic modeling for audio and wearable devices.
Architectural Scale and Structural Systems
Architecture and engineering presentations focus on data-first approaches to the built environment:
- Thornton Tomasetti, CORE Studio (Sergey Pigach) will highlight AI-enabled workflows in structural practice.
- Walter P Moore (Gustav Fagerström) will present large-scale façade and structural system integration, including the world’s largest double-curved outdoor LED screen.
- Severud Associates (Steve Reichwein) will discuss computational methods linking analysis and architectural intent.
- Arup (Marc Tatarsky) will show how global projects are informed by computational design thinking and sustainability metrics.
- Foster + Partners (Sherif Tarabishy) will present applications of computational methods in adaptive architectural systems.
Beyond the Stage
CDFAM NYC 2025 will take place on October 29–30, 2025 at Newlab, Brooklyn Navy Yard, New York.
The symposium is not only about what happens on stage. The in-person format provides opportunities to engage directly with presenters, continue discussions in smaller groups, and connect with peers facing similar challenges in computational design.
Conversations during breaks, over lunch, and in the informal sessions are often where collaborations begin and ideas move from concept to practice.
Registration
Discounted registration for CDFAM NYC, October 29-30, 2025 are now available until until October 28th, prices will then increase for any last minute registrations.
Full Event Tickets
Early Bird Registration
$850
Until September 1st or SOLD OUT
Discount Registration
$1000
Extended until October 28th or Sold Out
Academic Registration
$550
Full Time Students & Educators Sold Out
Single Day Tickets
Wednesday 29th Only
$600
Attend one day only, Wednesday 29th, Includes networking event.
Thursday 30th Only
$500
Attend for second day , Thursday 30th only, Sold Out
For wire transfers or group discounts, contact info@cdfam.com
Final price will include addtional credit card processing fees
Join leading experts in computational design across all scales, from micro to mega for two days of knowledge sharing and networking in NYC, October 29-30, 2025.
From AI and machine learning for material development and simulation, to multi-objective computational design of architectural systems, the two day program features researchers, practitioners and software developers leading the advancement of data-driven design, agnostic of application.
