Mateusz Płoszaj-Mazurek
Architect, PhD · Building researcher and computational designer
Building researcher · Daylight, building regulation and computation
Computational designer · Grasshopper, simulation and BIM tooling · Architect, PhD
Product engineer for AEC software · Architect, PhD
Research engineer · Design optimization and surrogate models · Architect, PhD
Architect, PhD · Building regulation and performance · Evaluation for AEC AI
Warsaw, Poland · remote across time zones ·
mateuszploszajmazurek@gmail.com
github.com/Curiosit
Architect with ten years of practice in Denmark and Poland, a PhD in digital design methods and two years
building design software for architects. I research daylight and building regulation at Warsaw University
of Technology and build computational tools that make building performance part of design, not a check at the end.
Researcher at the Faculty of Architecture, Warsaw University of Technology. My PhD and the 2020 and 2024 articles
in Energies developed machine-learning, parametric and BIM-based methods for low-carbon architectural design.
My current work moves the same approach to daylight: fast surrogate models that predict climate-based daylight
metrics from geometry, and parametric studies of how daylight requirements perform.
Architect who has taught Grasshopper for seven years and builds the tools around it: plugins, simulation
workflows, IFC pipelines and web viewers, for employers and clients in Denmark, Liechtenstein, Finland and Poland.
I take a repetitive design task, automate it end to end and hand the team something they can run without me.
Architect with ten years in practice and a PhD in digital design methods, who turns building
performance problems into working software. At One Click LCA I built features for Carbon Designer 3D
and served as interim product owner, taking the Free Drawing feature from specification to release.
I translate building regulations into checkable rules and know which answers a designer can actually use.
I build and evaluate methods that replace expensive building simulation with fast, checkable predictions.
My work covers multi-criteria building optimization, surrogate models validated against Radiance,
and the benchmark design that decides whether a result is any good. PhD on parametric optimization and
machine-learning methods for design; ten years of architectural practice behind the maths.
Ten years of architectural practice in Denmark and Poland, from 100 m² houses to 15,000 m² schools and offices,
including Passive House certification. As a researcher I test prescriptive building rules against simulation and build
the datasets to do it: task specification and ground-truth design for compliance checking, done by hand before agents existed.
Version:
general
research
computational design