# Martin Tamke
**Wikidata**: [Q130290516](https://www.wikidata.org/wiki/Q130290516)  
**Source**: https://4ort.xyz/entity/martin-tamke

## Summary
Martin Tamke is a German architect and university teacher born in 1974 in Göttingen. He is known for his interdisciplinary work at the intersection of architectural design, sustainable architecture, building materials, and machine learning.

## Biography
- **Born:** 1974, Göttingen
- **Nationality:** German (inferred from birthplace)
- **Education:** Not specified in source material
- **Known for:** Interdisciplinary work in architectural design, building materials, sustainable architecture, and machine learning
- **Employer(s):** Not specified in source material
- **Field(s):** Architectural design, building material, sustainable architecture, machine learning

## Contributions
Martin Tamke's primary contributions lie in bridging traditional architectural disciplines with emerging computational technologies. His work integrates machine learning into architectural design processes and explores sustainable building materials. While specific publications, patents, or founded companies are not detailed in the provided source material, his recognized fields of work demonstrate a significant focus on applying artificial intelligence concepts (specifically machine learning) to advance sustainable architectural practices and material innovation. This interdisciplinary approach positions him as a contributor to the evolving field of computational design and sustainable construction.

## FAQs
### Q: What is Martin Tamke's primary profession?
A: Martin Tamke is an architect and also works as a university teacher.

### Q: Where was Martin Tamke born?
A: He was born in Göttingen in 1974.

### Q: What fields does Martin Tamke work in?
A: His fields of work include architectural design, building material, sustainable architecture, and machine learning.

### Q: What languages does Martin Tamke speak?
A: He speaks English.

### Q: What unique identifiers are associated with Martin Tamke?
A: He has ISNI 0000000053465005, GND ID 1043975438, VIAF ID 2231283, and nl_cr_aut_id ntk20241234583.

## Why They Matter
Martin Tamke matters for his role in integrating advanced computational techniques, specifically machine learning, into the traditionally built environment-focused fields of architecture and material science. His work at the intersection of sustainable architecture and artificial intelligence represents a significant contribution to the evolution of computational design. By applying machine learning principles to architectural design and building materials, he contributes to developing more efficient, sustainable, and intelligent building solutions. His academic teaching role further disseminates these interdisciplinary approaches, influencing future architects and researchers to explore the synergy between technology and sustainable built environments.

## Notable For
- Interdisciplinary work combining architectural design, sustainable architecture, building materials, and machine learning.
- Recognition as a university teacher in the field of architecture.
- Unique position applying artificial intelligence concepts (machine learning) within the domain of sustainable building design and material innovation.
- Academic contributions focused on advancing sustainable architectural practices through computational methods.

## Body
### Personal Details
- **Name:** Martin Tamke
- **Sex or Gender:** Male
- **Birth Date:** 1974
- **Birth Place:** Göttingen
- **Languages Spoken/Written:** English

### Professional Identity
- **Occupation:** Architect, University Teacher
- **Instance Of:** Human

### Fields of Expertise
- Architectural Design
- Building Material
- Sustainable Architecture
- Machine Learning

### Identifiers
- **ISNI:** 0000000053465005
- **GND ID:** 1043975438 (also DDB Person (GND) ID: 1043975438)
- **VIAF ID:** 2231283
- **nl_cr_aut_id:** ntk20241234583 (qualifier: P1810 "Tamke, Martin")

### Related Concepts
- Artificial Intelligence (field of computer science developing intelligent software)
- Machine Learning (study of algorithms for tasks without explicit instructions)

## References

1. Czech National Authority Database
2. Virtual International Authority File