Clemens Baldzuhn

Graduate in Statistics (M.Sc.), Sociology (B.A.) & Psychology (B.Sc.)

Welcome to my website! This website serves to give an overview of the academic and non-academic projects I have pursued in the past.

Let me start with a few words on myself: I recently completed my M.Sc. in Statistics, focusing on statistical inference and data science, at the Berlin University Alliance. Prior to that, I earned two Bachelors degrees – in Sociology (with a focus on Computational Social Science) at the University of Leipzig, and Neuroscience/Psychology at the University of Maastricht.

My current interests largely focus on Bayesian model development, models for geospatial data, digital methods in the social sciences, as well as interdisciplinary approaches for modelling our complex modern coexistence.

Projects

As a part-time project, we developed an automatic fact-checking tool for German talkshows using agentic AI (ongoing, demo available).

For the Tarmac Festival, I developed a web app–based ticketing system to streamline on-site transportation requests.

I developed a novel Bayesian informed statistical model for estimating latent attitudes from likert scales in panel data (ongoing).

For my Master’s thesis in Statistics I developed new statistical methodology to describe a special type of point data (Currently in publication).

During an internship at the Complexity Science Hub I worked with statistical copulas and information theoretic metrics to extend a model of armed conflict spread.

As an improvement to my workflow finding new records on the web, I came up with a Streamlit powered dashboard, which uses the Discogs API to display the most relevant statistics of a record label.

I developed a Telegram Chatbot that offers the nearest free public toilet in Berlin and Dresden, which had several hundred users when it was still online.

For my Bachelor’s thesis in Leipzig I conducted a large-scale data analysis of job advertisements from the German labour market.

During my time in the Computational Social Science department at Gesis, I developed a pipeline to analyze deleted tweets of politicians in their extensive collection, which was gathered during the German federal elections in 2017 (BTW17).

Analyzing tweets from German police stations (Oct. 2020 - Feb. 2021). This is a data science project for the course 'Introduction to Digital Humanities' at Leipzig University.

© Clemens Baldzuhn 2025