cv

Complete CV in PDF, Update July, 2025

Basics

Name Benjamin Buettner
Label Applied Economist, IP, Innovation Research and Data Science
Summary I analyze how public science translates into innovation using IP data, machine learning, and econometrics. My work focuses on disclosure, diffusion barriers, and the societal and economic impact.

Work

  • 2024 - Present
    Postdoctoral Researcher
    Eindhoven University of Technology
    Developed scalable methods to identify patent–paper pairs using deep learning applied to text, figures, and metadata from patents and scientific articles.
    • Trained neural networks for image- and text-based similarity
    • Built scalable pipelines to detect direct links between research and innovation
    • Constructed and shared datasets for use by the broader research community
  • 2019 - Present
    PhD Candidate
    Eindhoven University of Technology
    Studied how diffusion barriers affect the reuse of scientific knowledge using patent data, machine learning, and econometrics.
    • Analyzed machine translation effects on cross-border citation flows
    • Linked patent data to H-1B visa records to study talent flows
    • Used image recognition to detect overlap between paywalled articles and patents
  • 2017 - 2017
    Researcher
    Sophia University
    Part of research team evaluating western waste management concepts in East Asia.
    • Collected data using T-SQL
    • Performed statistical evaluation using R and Python
  • 2017 - 2019
    Lecturer & Team Leader
    Jiangsu University of Technology
    Managed international academic team; taught cultural, sociological, and linguistic topics; German language instruction.
  • 2015 - 2017
    Working Student, Export Control & Customs
    Siemens AG
    Assisted divisions worldwide on export compliance; analyzed data using Excel, VBA, and Access.

Education

  • 2016 - 2018
    M.A.
    FAU Erlangen-Nürnberg
    Sociology
  • 2011 - 2016
    B.A.
    FAU Erlangen-Nürnberg
    Sociology & Pedagogy

Skills

Programming
Python
SQL
R
Stata
Pandas
NumPy
BeautifulSoup
Selenium
Matplotlib
Machine Learning
Neural Networks
TensorFlow
scikit-learn
NLP
spaCy
NLTK
Statistics
Panel Data Models
Causal Inference
Multivariate Analysis
Tools
LaTeX
Markdown
Excel
Access
PowerPoint
VBA

Languages

German
Native
English
Business fluent
Chinese
Advanced

Volunteer

Interests

Home Automation
Cultural Exchange
Sports
Woodworking
Cooking

Publications