Research Projects I have been a part of:
As a mathematics master's student I have focussed on applying a rigorous mathematical toolkit to real scientific questions. From conducting experiments on human perception to applying modern natural language processing techniques to a self-compiled dataset of over 1.6 million social media messages, I not only enjoy the processes of analysis and modelling but also experimentation and data gathering.
Bachelors Thesis:
Bistability of Human Perception
Institution: University of Rostock
Year: 2023
Supervisor: Prof. Dr. Jens Starke
Description: On the user interface of a self created app, participants were exposed to images that morphed between different states and rated similarity to fixed states during the process. Hysteresis behavior was recorded and results point to the possibility of stabilizing unstable states in human perception.
A revised English version will be uploaded at some point in June of 2026.
App Development:
A comprehensive Evaluation Framework for Synthetic AI Training data
Institution: University of Rostock
Year: 2026
Collaborators: Imron Khan Shajahan, Preethika Nagarajan Chandrasekaran, Delany Isleen Mathias, Saran Sankara
Description: The Goal of this webapp is to provide a single place where synthetic data can be evaluated along the different lines of Utility, Privacy and my main focus: Fidelity. The app will likely be hosted by end of May 2026, you'll find a link here if you're interested.
Masters Thesis:
Public Interest in Prevalent Rumors in Online Communities
Institutiton: Rostock
Year: 2026
Supervisor: Dr. Wolfram Just
Description: With the help of Natural Language processing Ai a collected social media data set of over 1.6 million messages is evaluated for prevalent topics and sentiments. These are set in relation with automatically determined google trends to determine correlation of public interest and the prevalence of topics that draw rumors.
Some formal errors have been removed for readability.