Daegeun Kim is a computational designer and data scientist currently pursuing an M.S. in Computational Design Practices at Columbia University. His work focuses on data-driven, geospatial, and machine learning based analysis for urban and real estate decision-making.

He develops computational systems that translate complex spatial and urban data into actionable insights, bridging design thinking with analytics, modeling, and automation in the built environment.

He also practices urban and landscape photography.
Visit Photography Page

Education

Jun 2025 – May 2026
Columbia University | M.S. Computational Design Practices | New York, NY
Sep 2017 – May 2023
The University of Hong Kong | B.A. Architectural Studies | Hong Kong

Experience

Mar 2024 – May 2025
HanmiGlobal | Assistant Construction Manager/Inspector | Pyeongtaek, Korea
Nov 2023 – Feb 2024
HanmiGlobal | Assistant Project Manager | Budapest, Hungary
Aug 2023 – Nov 2023
OTAK | On-the-Job Training | Portland, OR, USA
Jun 2022 – Aug 2022
SOSU Architects | Architectural Intern | Seoul, Korea
Aug 2019 – Mar 2021
Republic of Korea Military Service | Artillerist | Paju, Korea

Qualifications

Korean Certified Architectural Engineer
LEED Green Associate

Languages

English, Korean, Mandarin Chinese

Skills

Python, JavaScript, SQL
Pandas, NumPy, Matplotlib, scikit-learn, GeoPandas, shapely, D3.js
Rhino + Grasshopper, QGIS, Revit, AutoCAD, SketchUp
Adobe Illustrator, InDesign, Photoshop, Lightroom, Premiere Pro