where data
meets design

With an M.S. in Computational Design from Carnegie Mellon University, Isaac is actively engaged in research labs and industry collaborations, utilizing parametric design workflows, neural visualization techniques, and fabrication-aware computational methods.

His expertise spans deep learning for design optimization, material-driven generative systems, and digital twin simulations - integrating emerging technologies into scalable design solutions.

Meet me:

Education

Master of Science in Computational Design
Carnegie Mellon University spring '25

| Focus in Computer Science |
| Focus in Machine Learning |
| Focus in Physical Fabrication |

Bachelor of Architecture
University of Oregon spring '22

| Minor in Art History |
| Minor in Landscape Architecture |
| Minor in Interior Architecture |

Associate of the Arts
Portland CC spring '17

| Focus in Maths |

Recent Publications

Exploring Load-Bearing Applications of Compressed HempWood® Panels using Kerf Bending & CNC

Role: Physical production of a full-scale proof-of-concept column, and documentation of the technical process from simulation to fabrication. Worked directly with the manufacturer of hemp panels to understand their physical capacity and to design a pipeline that embraces hemp’s capabilities while downplaying less desirable traits.

Predicting TCR-Epitope Binding with Fine-Tuned Protein Language Models and Contrastive Learning (11785 IDL)

Role: Reimplemented a contrastive machine learning paper called CLEAN for Google cloud training. Explored various training techniques to extend CLEAN for the use in TCR-Epitope binding, and ran ablation studies to find efficient and accurate hyperparameters. Documented and produced mathematical graphics and tables for publication.

Deep Time Architectural Data - Leveraging Computational Techniques for Historical Preservation

Role: Data capture, processing, and visualization co-lead for a multi-term academic research project, and subsequent literature. Worked in a small team to edit, write, and distribute iterative explanations of computational techniques, data capture strategies, and exhibition-ready artifacts from the project in an informative and engaging living document.

Patterns for Health - A Parametric Tool for Creating Healthy and Habitable Spaces

Role: Computational and visual lead. Designed a pipeline for gathering open-source data to produce custom CFD simulations and visualizations based on user-provided structural geometry. Worked closely with the VELUX Corporation to provide resources based on the tool for their Build For Life exhibition at the World Capital of Architecture.

SARS-CoV-2 Multimodal Detection and Outbreak Tracking in Buildings

Role: Created spatial and temporal 3D animation visualizations for academic papers and an accompanying video publication. Assisted in data analysis, scripting, and documentation.

Recent Exhibitions

‘Build for Life’ - VELUX Corporation

Role: Design lead for an exhibition adapted from a research endeavor with the VELUX Corporation. Created visualizations, ad copy, and video clips for a client exhibit.

Prompt: Rethinking how buildings can help resolve global climate & health challenges through sustainability.

‘Transpecies Design’ - University Submission

Role: Part of a small team working out of the Institute for Health in the Built Environment, tasked with design / build of a gallery-quality wooden model and 2D graphics.

Prompt: Departmental initiative connecting design and the greater biological world.

‘Ignition’ - Presented by Fuel Ladder

Role: Design / build of several art pieces included in the show - working closely with the Fuller Center for Productive Landscapes and other Fuel Ladder members.

Prompt: Investigating climate change through the lens of historic wildfire prevention.

‘Ghost Forests’

Role: Construction of several wooden shields included in the show - working closely with visiting professor David B. Borden and the Fuller Center for Productive Landscapes.

Prompt: Examining the dying forest ecosystems of North America and our response.

focus areas

Machine Learning

Classification
,
Clustering
,
Interactive Experiences

Static & Motion Graphics

3D Animation
,
2D Animation
,
Video Editing

Rapid Prototyping

Emerging Polymers
,
Digital Production
,
Woodworking

Architectural Design

Simulation & Cost Analysis
,
Procedural Design & BIM Management
,
Design Research