Marcel H. Schubert
Ph.D. focused on Machine Learning & Behavioral Economics (Distinction)
M.Sc. in Cyber Security · M.Sc. in Economics
B.Sc. in Computer Science · B.Sc. in Economics
About me.
Driven by Data. Passion for Innovation.
I am never satisfied with best practices. For me, challenging how we think, how we look at the world, and ultimately how we solve problems drives me in my work.
That is also what drove my PhD research on the applicability of machine learning in behavioral economics. During my time in academia, I acquired a broad, multi-disciplinary background with degrees in economics and computer science. Moreover, I gained experience with a diverse set of models and data types.
For my future work, I seek to leverage my statistical analysis and machine learning skills to deliver innovative, action-oriented solutions to complex business problems. On a personal level, I am open and always excited to learn about and discover new experiences. In my free-time, I like to explore new places and cuisines to broaden my horizons and to learn languages to increase my understanding.
Skills.
Qualifications.
VOLUNTARY WORK
PhD Representative
Max Planck Institute for Research on Collective Goods
Financial Officer of University Group
RCDS Bonn
Member of the Public Relations Committee of the Student Representation
AStA University of Bonn
LANGUAGES
German – Native
English – Fluent
Spanish – Basic
Swahili – Basic
EXPERTISES
Data Science
Machine Learning (classical & recent models)
Statistical Analysis & Econometrics
Experimental Design & Causal Inference
Natural Language Processing (NLP)
Predictive Analysis
Biologically Inspired Computing
Data Cleaning & Pre-Processing
PROGRAMMING
Python
R
Java-Script
C
Java
ML FRAMEWORKS
PyTorch
TensorFlow / Keras
Spacy
Sci-kit Learn
Data Science Toolkits (e.g., Pandas, SciPy, NumPy)
DATABASE TECHNOLOGIES
SQL
MongoDB
OTHER
LaTeX
Slurm & HPC Computing
Linux – Shell/Bash
HTML/CSS
Version Control / Git
oTree
Experience.
Practical Experience
10/2017 – today
Research Scientist
Max Planck Institute for Research on Collective Goods
- Researching the application of machine learning models for behavioral economics
- Full-stack, end-to-end project pipeline, from development to implementation
- Design, programming, and statistical analysis of experiments and behavioral studies
- Visualizing data insights and storytelling for scientific publication
- Statistical data analysis and hypothesis testing
09/2017 – 11/2021
PhD Projects
- Defining behavioral arch-types in group interactions using unsupervised learning on time-series data
- Black-box bias analysis on the impact of machine learning model design for the COMPAS algorithm (predictions for bailing and jailing decisions)
- Stability and relevance analysis on feature weight matrix of classifiers in NLP authorship analysis tasks using a large-scale experiment
- Classifier for the political ideology of US court opinions/texts and extension of labeled texts database from 20,000 to 1 mil
03/2019 – 5/2019
Guest Researcher
GESS ETH Zurich Working Group for Law, Economics & Data Science
- Classifier System for Legal Texts (>1000 characters)
09/2015 – 09/2017
Research Assistant
Max Planck Institute for Research on Collective Goods
05/2015 – 07/2015
Internship Consultancy
Helbling Business Advisors Stuttgart
Education.
Education
09/2017 – 11/2021
Ph.D. Economics
University of Cologne
Thesis: Behavioral Economics & Machine Learning
10/2017 – 11/2019
M.Sc. Cyber Security
University of Lancaster
10/2015 – 09/2017
B.Sc. in Computer Science
University of Bonn
10/2015 – 09/2017
M.Sc. in Economics
University of Bonn
10/2012 – 02/2015
B.Sc. in Economics
Ludwig-Maximilians University (LMU Munich)