Daniel Cardoso Llach
· Associate Professor, CD Track Chair, CodeLab Director & Associate Dean for Faculty and Graduate AffairsVerifiedCarnegie Mellon University · Architecture
Active 2007–2025
About
Daniel Cardoso Llach is an Associate Professor in the School of Architecture and chair of the Master of Science in Computational Design at Carnegie Mellon University. His work spans multiple disciplines and he is the author of numerous publications, exhibitions, and artifacts that critically examine computational technologies in design. Daniel holds a Bachelor of Architecture from Universidad de los Andes in Bogotá, as well as a PhD and an MS with honors in Design and Computation from the Massachusetts Institute of Technology (MIT). He has also been a research fellow at MECS and a visiting scholar at the University of Cambridge.
Research topics
- Computer Science
- Artificial Intelligence
- Human–computer interaction
- Engineering
- Visual arts
- Computer graphics (images)
- Sociology
- Aesthetics
- Architectural engineering
- Art
- Programming language
- Multimedia
- Telecommunications
Selected publications
Lecture notes in mechanical engineering · 2025-10-01
book-chapterSenior authorPACMHCI, V9, N2, April 2025 CSCW Editorial
Proceedings of the ACM on Human-Computer Interaction · 2025-05-02
articleWe are again thrilled to be able to present the Computer-Supported Cooperative Work and Social Computing (CSCW) community with an issue of the Proceedings of the ACM on Human-Computer Interaction, containing very interesting and relevant scholarship from its members. This issue includes 211 papers, of which 192 were accepted from the January 2024 cycle, and 19 were accepted from the July 2024 cycle. It reflects great efforts and contributions from external reviewers, Associate Chairs and Editors, who together have conducted a rigorous review process to select contributions of the highest quality advancing the CSCW field. As Track Chairs, we are grateful for the community's collective efforts to continue shaping and sharing CSCW's tradition of high-quality scholarship across the years.
A Minimal Making Grammar for 3-D Structures
Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · 2025-01-01
articleSenior authorPACMHCI, V9, N7, November 2025 CSCW Editorial
Proceedings of the ACM on Human-Computer Interaction · 2025-10-16
articleWe are again thrilled to be able to present the Computer-Supported Cooperative Work and Social Computing (CSCW) community with an issue of the Proceedings of the ACM on Human-Computer Interaction, containing very interesting and relevant scholarship from its members. This issue includes 313 papers, of which 45 were accepted from the January 2024 cycle, 85 were accepted from the July 2025 cycle, and 183 were accepted from the October 2025 cycle. It reflects great efforts and contributions from external reviewers, Associate Chairs and Editors, who together have conducted a rigorous review process to select contributions of the highest quality advancing the CSCW field. As Track Chairs, we are grateful for the community's collective efforts to continue shaping and sharing CSCW's tradition of high-quality scholarship across the years.
2024-05-21
book-chapter1st authorCorresponding2024-11-12
book-chapter1st authorCorrespondingThis article documents and reflects upon a pedagogical project aimed at fostering critical engagements with technology in the context of a graduate research and learning laboratory at the nexus of computer science, design, engineering, and architecture. With the notions of critical technical practice and reflective practice as touchstones, the project links a specific tradition of twentieth century design pedagogy to critical sensibilities drawn from the field of science and technology studies (STS) in a space we call the ‘research studio.’ The methods and examples presented illustrate how this hybrid pedagogical model can cultivate the critical imagination of learners – their ability to place critical and sociohistorical reflection at the centre of creative technology design – and show that the fields of design and STS offer distinct but mutually enriching traditions of learning and research. The article offers insight to educators and researchers across STEM and humanities fields interested in engaging with technologies not merely as subjects but also as vehicles of scholarly and creative inquiry.
2024-10-14 · 4 citations
articleSenior authorIn the dynamic construction industry, traditional robotic integration has primarily focused on automating specific tasks, often overlooking the complexity and variability of human aspects in construction workflows. This paper introduces a human-centered approach with a "work companion rover" designed to assist construction workers within their existing practices, aiming to enhance safety and workflow fluency while respecting construction labor’s skilled nature. We conduct an in-depth study on deploying a robotic system in carpentry formwork, showcasing a prototype that emphasizes mobility, safety, and comfortable worker-robot collaboration in dynamic environments through a contextual Reinforcement Learning (RL)-driven modular framework. Our research advances robotic applications in construction, advocating for collaborative models where adaptive robots support rather than replace humans and underscores the potential for an interactive and collaborative human-robot workforce.
ACADIA quarterly · 2024-01-01
articleResearch Square · 2024-07-08
preprintOpen accessSenior author2024-11-12
book-chapterSenior authorRecent research into architectural form analysis using deep learning (DL) methods has shown potential to identify features from large collections of building data, shedding new light into formal aspects of our built environment. As these methods begin to enter architectural, urban, and policy design contexts, it becomes important to develop critical approaches to employing them. In this paper, we document and reflect upon our efforts to create a custom dataset of 3-D models of 331 wooden churches located within the Carpathian Mountains of Eastern Europe, and to use DL methods to explore this dataset with the goal of revealing unexpected formal traits and advancing architectural scholarship on this subject. While existing scholarship groups them into four distinct stylistic categories, our analysis reveals stylistic overlaps, previously undetected micro styles, and shared architectural features. We posit the resulting analyses as an example of an ‘architectural distant reading’ that enriches our understanding of this architectural typology through an unprecedentedly detailed portrait of its formal characteristics based on a large architectural dataset. Crucially, drawing on recent developments in critical data and algorithm studies, we show how the dataset construction and subsequent analyses, and their results, were shaped by slow, manual data curation processes, methodological constraints, subjective decisions, and engagements with archives, domain experts. We thus illustrate how DL techniques might be contextualized for architectural studies in relation to other modes of knowledge and labour, and offer a detailed case study of state-of-the-art computational methods enriching established approaches to architectural form and historical analysis.
Frequent coauthors
- 5 shared
Yi-Chin Lee
Carnegie Mellon University
- 4 shared
Lars Berg
Independent Dance
- 3 shared
Yuning Wu
Carnegie Mellon University
- 3 shared
Violet Johnson
- 3 shared
Jinmo Rhee
- 3 shared
Janet Vertesi
Princeton University
- 3 shared
Zach Thomas
New York Medical College
- 3 shared
Eitan Mendelowitz
Labs
CodeLabPI
Computational Design Laboratory
Awards & honors
- 2021-22 Pennsylvania Manufacturing Fellow
- ACM SIGGRAPH 2022 Art Papers Chair
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Daniel Cardoso Llach
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup