Jan Teichert-Kluge
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Causal ML & AI Research

Hey, I’m Jan!

PhD student at the University of Hamburg. I work on causal inference and machine learning, trying to figure out not just what happens in data, but why.

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Portrait of Jan Teichert-Kluge

Double Machine Learning Causal Inference Deep Learning Teaching

What I’m working on

My research sits at the intersection of causal inference and deep learning.
I’m particularly interested in using different types of data (text, images, tables) to get better causal estimates.

Causal Machine Learning

I work on methods that help us understand why things work, not just predict outcomes. Think: What’s the actual effect of a price change on demand?

Multimodal Deep Learning

Combining text, images, and tabular data to improve predictions and causal estimates. Especially useful when you have product descriptions, images, and sales data.

Teaching

I teach statistics and machine learning at the university. I try to make things practical and understandable, with lots of code examples.

Quick facts

5+

years working with data

10+

talks and teaching sessions

29

years old, based in Hamburg

Recent stuff

Price elasticity with multimodal data

Built a toolkit for estimating how prices affect demand using DoubleML, incorporating product images and descriptions.

Collaboration with MIT, 2024

Teaching statistics and ML

Teaching courses from intro statistics to deep learning at the University of Hamburg. Lots of Python notebooks and hands-on exercises.

2023 - now

DoubleML development

Contributing to the DoubleML Python package for causal machine learning.

Ongoing

My path so far

Started with industrial engineering, ended up in statistics research. Here’s how that happened:

PhD Student, University of Hamburg
Doing my PhD in Statistics since 2023. Working on causal inference with multimodal data and contributing to DoubleML.

M.Sc. Industrial Engineering
Data science and energy tech focus. Master’s thesis on combining deep learning with causal ML (Grade 1.0).

Working Student, Philips Medical Systems
Data science stuff: Azure Databricks, Power BI, SQL. Built analytics tools for service planning.

B.Sc. Industrial Engineering
Electrical engineering and fluid mechanics. Built a quadcopter for my thesis, which was pretty fun.

Working Student, Siemens Gamesa
BI and automation for wind energy teams. Learned a lot about making data useful in practice.

Get in touch

Happy to chat about research, collaborations, or consulting projects.
Just drop me a message.

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