Dr. Kyle Steinfeld

Associate Professor

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Biography

Kyle Steinfeld is an architect whose work integrates code and design practice. Residing in Oakland, he pursues a hybrid profession that combines creative work, scholarly research, and software development. His focus is on revealing the often-overlooked potentials of computational design while exploring the disharmony within rational and whimsical approaches. Steinfeld’s practice is expressed through a mix of visual, spatial, and material media, challenging the authoritative narrative of computational processes by amplifying diverse voices. His work intersects with Artificial Intelligence and Environmental Design, having been exhibited at the NeurIPS workshop on Machine Learning Creativity in 2018. Steinfeld's academic efforts illuminate the interplay between creative practices and computational design methodologies, facilitating informed and responsible architectural practices. He has authored numerous software design tools and published extensively on design computation, including the foundational text “Geometric Computation: Foundations of Design.” His accolades include several research grants and fellowships, highlighting his contributions to the field. In his teaching at UC Berkeley, he offers core courses on architectural representation and design computation at both graduate and undergraduate levels. Throughout his professional career, he has consulted for prominent design firms, enriching his perspective on architectural practices.

Research Interests

Experience

Associate Professor

— Present

UC Berkeley College of Environmental Design • Berkeley, CA

Teaches core courses in design and architectural representation; involved in seminars on design computation.

Awards

#

IDEA Studio Fellowship

#

Hellman Fellowship

Courses

Architectural Design Studio Building Performance Visualization Representational Practice in Architectural Design Graduate Seminar in Digital Design Theories and Methods Case Studies in Architecture

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.