A bit more about me
I’m a researcher and teacher working on causal inference and machine learning. I like figuring out why things happen, not just what happens.
How I got here
I studied industrial engineering but got more and more into data science and statistics along the way. Eventually I realized that I’m most interested in causal questions: not just predicting what will happen, but understanding why. That’s what I’m doing my PhD on now.
Where you’ll find me
University of Hamburg
Research associate and PhD student in Statistics. I work on causal inference with multimodal data and contribute to the DoubleML framework.
Since 2023, Hamburg
Teaching
I run tutorials in statistics, machine learning, and deep learning. I try to make things hands-on with lots of code examples.
20+ sessions so far
Industry experience
Before going into research, I worked at Philips and Siemens Gamesa. Built dashboards, data pipelines, and analytics tools.
Azure, PySpark, Power BI
Career timeline
Research Associate, University of Hamburg
PhD research on causal inference with multimodal data. Also teaching statistics and ML courses. 2023 - now
Data Science, Philips Medical Systems
Built Power BI dashboards, PySpark pipelines in Azure Databricks, and SQL stuff in Synapse. 2022 - 2023
Business Intelligence, Siemens Gamesa
Automated KPI dashboards and helped with digital transformation for wind energy teams. 2021 - 2022
Math Tutor, Berufliche Schule Uferstrasse
Taught math support courses. Learned a lot about explaining things clearly. 2019 - 2020
Education
Ph.D. Statistics
University of Hamburg. Working on causal inference, deep learning, and how to combine different data types for better causal estimates.
2023 - present
M.Sc. Industrial Engineering
University of Hamburg / HAW Hamburg. Thesis on causal machine learning with deep learning (Grade 1.0). Focused on data science and energy tech.
2020 - 2023, Grade 1.4
B.Sc. Industrial Engineering
University of Hamburg / HAW Hamburg. Built and stabilized a quadcopter for my thesis. That was a fun project.
2016 - 2020
Skills and such
Tech stack
Python, PyTorch, DoubleML, SQL, Azure Databricks, Power BI, R, Spark. I like reproducible research and clean code.
What I’m good at
Explaining complex stuff in simple terms. Connecting business questions with statistical methods. Teaching and mentoring.
Other stuff
Was chair of the student council for a while, representing 750+ students. Organized events and learned a lot about coordination.
Recognition
Hauke-Trinks-Award, 2nd Place
Award from the Northern Institute of Technology Management for my work combining engineering with innovation.
2020
Say hello
Email jan.teichertkluge@uni-hamburg.de
or call +49 40 42838-1517.
Office: Moorweidenstr. 18, Room 0025.