AIA CES Credits
AV Office
Abstract Publication
Academic Affairs
Academic Calendar, Columbia University
Academic Calendar, GSAPP
Admissions Office
Advanced Standing Waiver Form
Alumni Board
Alumni Office
Anti-Racism Curriculum Development Award
Architecture Studio Lottery
Avery Library
Avery Review
Avery Shorts


STEM Designation
Satisfactory Academic Progress
Skill Trails
Student Affairs
Student Awards
Student Conduct
Student Council (All Programs)
Student Financial Services
Student Health Services at Columbia
Student Organization Handbook
Student Organizations
Student Services Center
Student Services Online (SSOL)
Student Work Online
Studio Culture Policy
Studio Procedures
Summer Workshops
Support GSAPP
This website uses cookies as well as similar tools and technologies to understand visitors' experiences. By continuing to use this website, you consent to Columbia University's usage of cookies and similar technologies, in accordance with the Columbia University Website Cookie Notice Group 6

Danil Nagy

Danil Nagy is Adjunct Assistant Professor at Columbia GSAPP. He is also a Senior Research Scientist and Design Associate at ‘The Living’ within Autodesk research. His teaching and research focus on new methods in big data, machine learning, advanced computation and visualization.

His teaching at Columbia GSAPP includes Architectural Drawing and Representation (AD+R), a full-year core representation class for all incoming M.Arch students focused on basic and advanced skills in modeling, rendering, animation and other forms of representation.

He also teaches a seminar called Data Mining the City, which looks at how recent advances in data and computation can help us understand our cities better. He has also collaborated on a number of studios focusing on applying advanced methods of modeling, simulation, and optimization to architectural design.


Course Semester Title Student Work Instructor Syllabus Requirements & Sequence Location & Time Session & Points Call No.
A4164‑1 Fall 2023
Design Intelligence
Danil Nagy
TU 9 AM - 11 AM
3 Points