Płoszaj-Mazurek
CV

Building researcher at Warsaw University of Technology

Mateusz Płoszaj-Mazurek

I study how daylight gets into buildings, and how the rules that are meant to guarantee it actually behave when you test them. Most of that work is computational: parametric studies, climate-based simulation, and fast models that predict daylight without running the simulation.

I trained as an architect, practised for ten years in Denmark and Poland, wrote a PhD on digital methods for building carbon footprint, and spent two years building design software for architects. Daylight is where those threads now meet.

Portrait of Mateusz Płoszaj-Mazurek

AIE: Architecture Intelligence Environment

AIE is a one-person studio run by Mateusz Płoszaj-Mazurek, architect, PhD

I build computational design tools for architects and AEC teams: Grasshopper definitions and plugins, configurators, optimization and simulation workflows, and the training that lets your team keep using them.

Warsaw-based, working in English and Polish, remote or on site.

Describe your project
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Portrait of Mateusz Płoszaj-Mazurek

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

Portrait of Mateusz Płoszaj-Mazurek

I'm in Warsaw.

— — highest — daylight —

    Dashed lines: the solstices. Times are local clock time. Your location never leaves this page.

    Point0.30, 0.40 drag it in the preview

    Previewdrag the point

    Open area 0 %

    A small parametric definition: openings grow near the attractor point. Most automation projects start with something like this, then become a tool your team can run.

    Research

    Daylight without the wait

    OmegaFlux predicts useful daylight illuminance point by point from room geometry, using gradient-boosted trees on geometric view descriptors instead of a neural network. It runs in the browser, about two hundred times faster than the Radiance simulation it was trained on.

    Repository · Live demo

    Machine learning for low-carbon design

    My PhD (2022) developed digital methods for estimating and reducing the carbon footprint of buildings while they are still being designed. The 2020 and 2024 articles in Energies carry that line: first parametric optimization with machine learning and a convolutional neural network, then language models and BIM data for building assessment tools.

    Data for reuse and policy

    I co-authored Poland's whole-life carbon roadmap for the built environment (2021), and published a workflow that uses a language model to enrich IFC data so large-panel building elements can be reused (2026).

    Highlights

    OmegaFlux web app: room sliders on the left, predicted useful daylight map in plan on the right, computed in 69 ms for 378 sensors

    Daylight prediction in milliseconds

    Gradient-boosted trees on geometric view descriptors reach R² 0.986 on held-out rooms, about 200× faster than Radiance. On room shapes the model never saw, accuracy drops to R² 0.72: the honest limit of the method, and the subject of the next paper.

    View the repository Open the live demo

    SSRN preprint, 2026 · open code and software DOI on Zenodo

    goeko.gha in Grasshopper

    Open data, inside Grasshopper

    An open-source plugin that pulls environmental product declarations from Germany's public Ökobaudat database straight into a Grasshopper definition.

    Code · Food4Rhino · MIT licence

    Scatter plot of machine-learning generated design samples: material A1–A3 carbon against operational B6 carbon, coloured by number of storeys
    Energies 2020, CC BY

    Carbon footprint, predicted at the sketch

    Machine learning, a convolutional neural network and parametric design, combined to estimate and optimise a building's carbon footprint while it is still being drawn.

    Energies 13(20), 5289

    Digital tools combining machine learning, language models and BIM for building assessment
    Energies 2024, CC BY

    Language models meet BIM

    How machine learning, large language models and BIM data can be merged into assessment tools that architects use during low-carbon design.

    Energies 17(12), 2997

    Figure from the doctoral dissertation
    Doctoral dissertation, 2022

    Digital methods for the design process

    The PhD behind both articles: how parametric tools and machine learning can bring carbon analysis into architectural design, defended at Warsaw University of Technology.

    PhD thesis, 2022

    Collaboration

    I'm open to collaboration: joint papers, comparative studies across countries, shared datasets and tools. I'm also glad to visit other universities, for a seminar, a guest lecture, a hands-on Grasshopper or daylight workshop, or a longer stay working on a shared question.

    Write to me about working together

    What I do

    Grasshopper and design automation

    Definitions, plugins, configurators and IFC pipelines that take a repetitive design task off your team's desks: massing studies, façade panelling, layout checks, model clean-up and export.

    Seven years teaching Grasshopper; Best Mashup Project at AEC Hackathon Copenhagen 2024; IFC web viewer for a Liechtenstein client.

    goeko.gha (2024): my open-source Grasshopper plugin that pulls product data from the public Ökobaudat database through its API. MIT licence, on Food4Rhino.
    Ask about automating a task

    Optimization and fast prediction

    Multi-criteria optimization of geometry and façades, and surrogate models that answer in milliseconds what a simulation answers in minutes.

    OmegaFlux: daylight prediction in the browser, validated against Radiance.

    Ask about optimization

    Daylight and sunlight analysis

    Insolation checks under the Polish building regulations, EN 17037 assessments and climate-based daylight studies (sDA, ASE, UDI), with the method stated so it survives review.

    Daylight autonomy maps for the same 5 by 6 metre room in Warsaw, facing south and north, unobstructed and across a street: spatial daylight autonomy falls from 59 to 15 percent facing south and from 37.5 to 12.9 percent facing north
    The same 5 × 6 m room in Warsaw, four ways: orientation and an opposite building decide most of the daylight. Climate-based simulation, daylight autonomy at 300 lx.

    Ten years of compliance work in practice, including daylight simulation studies with VELUX; OmegaFlux for fast early-stage checks.

    Ask about a daylight study

    Domain expertise for AEC AI teams

    Turning building-code checks and design tasks into specifications, labelled datasets and evaluation criteria your models can be measured against.

    Ten years of code compliance in practice; published work on language models for IFC data.

    Ask about evaluation work

    Workshops and training

    Hands-on Grasshopper, parametric and environmental-design workshops for architects and building-product teams, in Polish or English.

    Guest lecturer at Saint-Gobain's training sessions for architects (2023); seven years teaching Grasshopper to 400+ students.

    Ask about a workshop

    How it works

    You describe the task; I reply with a fixed scope, a price and the method I'll use, before any work starts. Deliverables are files you own: the definition, the plugin, the script or the dataset, documented so your team can run it. Most engagements run between one week and two months.

    Background

    Researcher and lecturer at the Faculty of Architecture, Warsaw University of Technology. Ten years of architectural practice at Bjerg Arkitektur in Denmark and Poland, Certified Passive House Designer. Two years building design software for architects at One Click LCA. The research side.

    Experience

    1. current

      Researcher and lecturer

      Faculty of Architecture, Warsaw University of Technology

      • Daylight regulation, simulation and surrogate-model research; see publications.
      • Teaches Grasshopper and multi-criteria building optimization; coordinates a lecture cycle on public buildings; runs a second-year design studio.
      • Designs parametric experiments and evaluation frameworks: thousands of simulated room variants, held-out test splits, convergence checks.
    2. 2024–2026

      Software engineer, interim product owner

      One Click LCA, Helsinki · remote

      • Built features for Carbon Designer 3D, an early-design tool for architects (TypeScript, React, Three.js, AG Grid).
      • Interim product owner in the second half of 2025; took the Free Drawing feature from specification to release.
      • Wrote methodology specifications and brought in a paying customer.
    3. 2024

      Contract developer

      enxess, Liechtenstein

      Web viewer for IFC models of historical building objects (Three.js, React, TypeScript).

    4. 2023–2024

      Founder

      SLAD.AI

      Self-funded venture building early-design carbon estimation software; designed, built and tested with users.

    5. 2014–2024

      Architect, Certified Passive House Designer

      Bjerg Arkitektur · Hjørring 2014–16, Warsaw 2016–24

      • Single- and multi-family housing, schools, kindergartens and offices, from 100 m² to 15,000 m².
      • All design phases: concept, permit and construction documentation, and architectural supervision on site.
      • Code compliance in practice under Danish and Polish regulations and Passive House certification; daylight simulation studies with VELUX.
      • 2022–2024: architecture, sustainability and software consultant, building in-house design tools; co-author of the Polish whole-life carbon roadmap.

    Selected projects

    Commercial and tool work

    1. 2025–26

      OmegaFlux

      Per-point daylight prediction from geometric view descriptors with gradient-boosted trees, exported to ONNX and run in the browser. Dataset generation, held-out validation against Radiance, transfer to unseen room shapes. curiosit.github.io/OmegaFlux

    2. 2025

      Free Drawing, Carbon Designer 3D One Click LCA

      Led a feature letting architects sketch building massing directly in the browser, from user problem through specification to release.

    3. 2024

      IFC viewer for historical building objects client, Liechtenstein

      Browser viewer built with Three.js, React and TypeScript for exploring IFC models of historical building elements.

    4. before 2024

      Freelance AEC development clients via Upwork

      Short commercial jobs including IFC-to-web implementation.

    5. 2016–2024

      In-house design tools Bjerg Arkitektur

      Grasshopper and scripting tools used in live projects, built end to end; daylight simulation studies for VELUX-related projects.

    6. 2021

      Whole Life Carbon Roadmap for Poland PLGBC, WorldGBC, EBRD

      Co-author, with Alicja Kuczera, of the national roadmap for decarbonising the built environment by 2050.

    7. 2023–24

      goeko.gha: Ökobaudat in Grasshopper open source

      Grasshopper plugin that reads environmental product declarations from the German Ökobaudat database through its API. MIT licence, published on Food4Rhino. github.com/Curiosit/goeko.gha

    8. 2024

      Wall carbon footprint configurator ShapeDiver

      No-code web app built from a Grasshopper definition, loading material data from Ökobaudat through an API.

    9. 2023–24

      AEC Hackathons

      Copenhagen 2023 (SpeckleLCA), Zurich 2024 (InfraWeb), Copenhagen 2024 (OpenDetail, Best Mashup Project).

    10. 2026

      Language models for IFC enrichment

      Workflow using an LLM to enrich IFC data for reuse of large-panel building elements; published with code.

    11. 2018–now

      Multi-criteria building optimization

      Evolutionary and multi-objective optimization of energy, daylight and carbon in parametric models; taught as a course module.

    Publications

    — citations h-index — Google Scholar

    Journal articles

    • A workflow for LLM-assisted IFC data enrichment to support circular reuse of large-panel building systems in Poland with A. M. Tofiluk · Journal of Building Engineering 120, 115397 (2026) · doi · open access
    • Green Data Centres: Sustainable Solutions with Green Energy and Green–Blue Infrastructure M. Grochulska-Salak, E. Maciejewska, P. A. Bujak et al. · Energies 18(24), 6592 (2025) · doi
    • Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development with E. Ryńska · Energies 17(12), 2997 (2024) · doi
    • Methods to Optimize Carbon Footprint of Buildings in Regenerative Architectural Design with the Use of Machine Learning, Convolutional Neural Network, and Parametric Design with E. Ryńska and M. Grochulska-Salak · Energies 13(20), 5289 (2020) · doi
    • Machine Learning-Aided Architectural Design for Carbon Footprint Reduction Builder 276 (7/2020), Builder Science, pp. 35–39 · doi

    Books, chapters and reports

    • Digital methods of supporting architectural design process and the analysis of the carbon footprint of buildings PhD thesis · Warsaw University of Technology (2022)
    • W kierunku architektury prośrodowiskowej – sztuczna inteligencja jako wsparcie architektonicznego procesu projektowego Chapter in: Architektura i urbanistyka wobec sytuacji kryzysowych, eds K. Solarek, C. Głuszek · Oficyna Wydawnicza Politechniki Warszawskiej (2022), pp. 63–75
    • Whole Life Carbon Roadmap for Poland: How to decarbonise the built environment by 2050 A. Kuczera, M. Płoszaj-Mazurek, A. Hadziivanov et al. · PLGBC with WorldGBC and EBRD (2021), 52 pp. · doi
    • Budownictwo drewniane a architektura zrównoważona Chapter in: VII Forum Holzbau Polska HBP2023, ed. M. Wnorowska · Forestor Communication (2023), pp. 215–222
    • Parametric Optimisation of Carbon Footprints Chapter in: Regenerative Design in Digital Practice. A Handbook for the Built Environment, eds E. Naboni, L. Havinga · COST Action RESTORE (2019), pp. 258–263
    • Parametryczna optymalizacja śladu węglowego budynków Chapter in: Miasto dla ludzi – miasto jutra, ed. B. Gronostajska · Politechnika Wrocławska (2019), pp. 303–315

    Conference papers and abstracts

    • Prescriptive and Performance Based Daylighting Regulation as an Architectural Experiment: Parametric Simulation of Polish Residential Standards Architecture of Challenges: Experiment in Space – the Space of Experiment, ed. A. M. Wierzbicka · Warsaw University of Technology (2026), pp. 160–161
    • Implementing Building Energy Modelling in a Master's Level Architectural Design Course: Preliminary Insights from a Pilot Study with M. Gołębiewski, M. Pierzchalski · Architecture of Challenges (2026), pp. 62–63
    • Predicting Daylight in Milliseconds: A Computational Machine Learning Surrogate Model for Early-Stage Urban Housing Design Simulation. Artificial Dataset Generation Poster · Young Scientist Forum "200 Młodych na 200-lecie Politechniki Warszawskiej" (2026)
    • Artificial intelligence for reducing carbon footprint of buildings. A comprehensive approach using convolutional neural networks and large language models in architectural design optimization Redefining Cities in View of Climatic Changes 2023: Abstracts · Warsaw University of Technology (2023), pp. 96–97
    • Artificial intelligence and machine learning for low carbon architecture. Prototype carbon estimation tool development case study Structures and Architecture. A Viable Urban Perspective?, eds P. J. S. Cruz, M. Frier Hvejsel · CRC Press (2022), vol. 2, pp. 345–346 · doi
    • Parametric Optimization of Carbon Footprint YRSB19: iiSBE Forum of Young Researchers in Sustainable Building, Prague · Czech Technical University (2019), pp. 165–174
    • Applying Machine Learning in Integrated Architectural Design for Life Cycle Carbon Footprint Reduction Redefining Cities in View of Climatic Changes 2019 · Warsaw University of Technology (2019), pp. 117–118

    Preprint with code

    Built work and professional press

    • Akademik na Solcu, Warsaw Project publication, with M. Czechowicz · Architektura-Murator 4/2025, pp. 54–64
    • Przedszkole pasywne, Reguły Passive House kindergarten, project publication, with D. Sibińska, J. Sokołowski et al. · Architektura-Murator 5/2023, pp. 20–34
    • Prefabrication and sustainable design: a three-part series with A. M. Tofiluk · Builder 4/2022, 7/2022 and 10/2022 · plus "Prefabrykacja w architekturze zrównoważonej", Zawód: Architekt 9–10/2022
    • Nowe wyzwanie dla polskiej architektury J. Biernacka, P. Biernacki, P. Dowgiałło et al. · Architektura-Murator 3/2019, pp. 30–32

    Skills

    Methods
    Evolutionary and multi-objective optimization, surrogate modelling, gradient-boosted trees, dataset and validation design, parametric experiments
    Building domain
    Climate-based daylight (sDA, ASE, UDI, EN 17037), insolation, Polish and Danish building regulations, Passive House, building carbon footprint
    Design tools
    Rhino and Grasshopper, Ladybug and Honeybee, Radiance, THERM, IFC and BIM, That Open Company tools
    Code
    Python (NumPy, pandas, scikit-learn, XGBoost, ONNX), TypeScript, React, Three.js, Git, CI/CD
    Languages
    Polish (native), English (fluent)

    Education

    1. 2022

      PhD in Architecture

      Warsaw University of Technology

      Digital methods of supporting the architectural design process and the analysis of the carbon footprint of buildings: parametric optimization and machine-learning methods for design.

    2. 2014–2016

      MSc in Architecture

      Aalborg University, Denmark

    3. 2023–2024

      Certifications

      Master BIM Software Developer (That Open Company, 2024) · Harvard CS50x (2023) · Certified Passive House Designer

    Teaching

    7 years teaching Grasshopper students in Grasshopper courses students a year in the introduction course alone

    The workshops I offer are built on the courses I teach at the university, from a first contact with Grasshopper to multi-criteria optimization of energy, daylight and carbon.

    • 7 years

      Introduction to Grasshopper

      Parametric modelling and multi-criteria optimization of energy, daylight and carbon.

      Warsaw University of Technology · about 40 students a year

    • ongoing

      Computing Architecture for Sustainable Environment

      Seminar for fourth- and fifth-year students, including daylight simulation.

    • ongoing

      Design studio and lecture cycle

      Second-year studio on small public architecture; coordinator of the semester-seven lectures on public buildings; English-language Solar Seminar.

    • 2023

      Rector's team award for teaching

      Warsaw University of Technology, for teaching achievements in 2021/22.

    • ongoing

      Teaching online

      Faculty classes run remotely, so workshops can be taught online as well as on site.

    • 2021–

      Techniques Integration, ASK

      Co-taught course integrating technical and environmental design.

    Talks, panels and workshops

    Talks and panels

    Workshops, lectures and moderated discussions for architects, building-product companies, developers and the public, in Polish or English.

    Training for industry and professionals

    • 2023

      Pro-environmental design: training sessions for architects guest lecturer

      Saint-Gobain · two sessions, Jura Krakowsko-Częstochowska and Żnin, October 2023

    • 2023

      ESG Digital Leader Academy mentor

      Proptech Foundation · development programme for managers implementing ESG strategy with digital tools

    • 2023

      Lublin on its way to Twin Transition: Danish–Polish workshop introductory talk

      Lublin, 13 April 2023

    Panels and moderation

    • 2026

      Discussion panels moderator

      IV International Conference Architecture of Challenges: Experiment in Space, Warsaw, 29–30 June 2026

    • 2025

      Session "Architecture of Community" and discussion panels chair, moderator

      III International Conference Architecture of Challenges: New European Bauhaus – Building Community, Warsaw, 30 June – 1 July 2025

    • 2025

      Decarbonising buildings in the climate crisis: policy, practice and the investor's view panellist

      PLGBC Green Building Summit

    • 2024

      Digital and business challenges for developers in 2024: non-financial reporting and carbon footprint panellist

      Building & Human Summit, Łódź, March 2024

    • 2023

      How to choose software for managing a building's carbon footprint expert

      Webinar, Proptech Foundation, 13 December 2023

    • 2023

      Energy resilience as a priority in urban and architectural design panellist

      III Kongres Regeneracja Miast, Łódź, 31 May 2023

    • 2023

      "Trochę architektura, trochę biologia" panellist

      Młodzi do Łodzi, conference of Architektura-Murator, Łódź, 26–27 May 2023

    • 2021

      Conversation with a Sweco sustainability and BIM lead moderator

      Miasta Przyszłości, 4th edition, online

    • 2021

      Launch of the Whole Life Carbon Roadmap for Poland speaker

      Webinar with PLGBC, EBRD and WorldGBC, 9 June 2021

    • 2018

      "Zero Carbon. Road to sustainable home" moderator

      8th Green Building Symposium, PLGBC

    Invited talks

    • 2025

      Sztuka vs. Sztuczna Inteligencja. Algorytm z duszą i emocjami – to tylko kwestia czasu? speaker

      22nd Warsaw Art Fair (Warszawskie Targi Sztuki)

    • 2025

      Early-phase building carbon footprint optimization with Carbon Designer 3D speaker

      Carbon Experts Summit 2025

    • 2023

      Special presentation, "The role of steel in the future" speaker

      V Dzień Stali, BUDUJ ZE STALI, Warsaw, 28 November 2023

    • 2023

      Timber building and sustainable architecture speaker

      VII Forum Holzbau Polska, Jachranka, 25–26 April 2023

    • 2023

      Low-carbon sustainable architecture and the use of BIM speaker

      Mistrzowie Krajobrazu 2023, online, 21 April 2023

    • 2022

      Bjerg Arkitektur's approach to climate in construction speaker, with Kjeld Bjerg

      Kongres Regeneracja Miast, Łódź, June 2022

    • 2021

      How prefabrication lowers the carbon footprint of buildings speaker

      Sztuka Architektury, online, 27 May 2021

    Conference presentations

    • 2026

      Prescriptive and performance-based daylighting regulation as an architectural experiment

      Architecture of Challenges IV, Warsaw

    • 2026

      Implementing building energy modelling in a master's level architectural design course co-author

      Architecture of Challenges IV, Warsaw

    • 2026

      Predicting daylight in milliseconds poster

      Young Scientist Forum, 200 years of Warsaw University of Technology

    • 2023

      Artificial intelligence for reducing carbon footprint of buildings

      Redefining Cities in View of Climatic Changes, Warsaw, 7–8 December 2023

    • 2022

      Artificial intelligence and machine learning for low carbon architecture

      International Conference on Structures and Architecture

    • 2019

      Parametric optimization of carbon footprint

      iiSBE Forum of Young Researchers in Sustainable Building, Prague, 1 July 2019

    • 2019

      Applying machine learning in integrated architectural design for life cycle carbon footprint reduction

      Redefining Cities in View of Climatic Changes, Warsaw, 20–21 November 2019

    Grants and awards

    Awards

    • 2024–25

      Principal investigator, IDUB research grant completed

      Circular economy in architecture: reuse of prefabricated elements and digital design techniques · Warsaw University of Technology, CPR-IDUB/238/Z01/2024

    • 2024

      First prize, Best Mashup Project

      AEC Hackathon, Copenhagen

    • 2024

      Rector's team award for organisational achievements (first degree)

      Warsaw University of Technology, academic year 2022/23

    • 2023

      Rector's team award for teaching achievements (third degree)

      Warsaw University of Technology, academic year 2021/22

    • 2023

      Competition win: energy-efficient multi-storey housing in Poland

      Winning entry by Studio Widoki, with Bjerg Arkitektur as consultant

      Carbon footprint calculations by Bjerg Arkitektur: prefabricated timber, about 6 kg CO₂e/m² per year over 50 years

    • 2022

      PLGBC Green Building Awards: best green building without certification

      Passive House kindergarten in Podkowa Leśna, Bjerg Arkitektur; award received on behalf of the practice. Also a distinction for an educational building.

    • 2022

      Distinction for the doctoral thesis

      Innowator Mazowsza competition

    Service

    • 2026–

      Guest co-editor, Buildings (MDPI)

      Special issue on performance-responsive architecture and urban design

    • 2025–

      Reviewer

      Energy and Buildings, Automation in Construction, Buildings, Energies, Architecture, Digital

    • 2024–26

      Jury member

      National competition for the best pro-environmental diploma project; judge-rapporteur in 2025

    • 2023–26

      Conference committees

      Organising committee, Architecture of Challenges IV (2026); scientific and organising committees, Redefining Cities in View of Climatic Changes (2023)

    • 2018–23

      Editor, catalogue of the best diploma projects

      Faculty of Architecture, Warsaw University of Technology, five volumes, two co-edited with A. Grabowska

    • current

      Auxiliary supervisor

      Doctoral candidate at Warsaw University of Technology

    • current

      Member, Sustainable Architecture Circle, SARP

    Contact