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Posts by Collection
portfolio
Portfolio item number 2
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publications
Forks
Published in not published, 2022
This review article that I wrote as part of my first seminar is about software forks in Open Source projects. It considers different types of forks and implications they have on the developer community.
Measuring Code Difficulty by Examining Psycho-Physiological Signals
Published in not published, 2022
This review article that I wrote as part of my second seminar is about how the brain and body react to different difficulty levels of coding tasks and discuss how biometric signals indicate those levels - independent of empirical difficulty metrics of code. We propose an experiment to improve on previous results in literature.
Gaussian Linear Secret Sharing
Published in computer science library @ Saarland University, 2024
This is my bachelor thesis. In this thesis we present a novel threshold secret sharing scheme over infinite algebraic structures such as \(\mathbb{R}\) and \(\mathbb{Z}\).
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant, Programming 2
Undergraduate course, Saarland University, Prof. Dr. Sebastian Hack, 2022
- Held 14 in-person sections and supervised 12 office hours for students.
- Corrected exams and created assignments.
- Held a programming project presentation.
- Built a Tetris AI that used a genetic algorithm.
Teaching Assistant, Foundations of Algorithms and Data Structures
Undergraduate course, Saarland University, Prof. Dr. Raimund Seidel, 2023
Actively supported students throughout their coursework. Held 12 in-person sections and corrected students’ assignments (5 hr./week).
Teaching Assistant, CAS Data Science and Machine Learning
Undergraduate course, ETH Zurich, Dr. Andreas Streich & Dr. Marcel Lüthi, 2024
I was a Teaching Assistant for the Data Science and Machine Learning module in the CAS DML program at ETH Zürich. My role involved guiding participants—mostly professionals from non-technical backgrounds—through key concepts in data analysis and machine learning. I held two weekly office hours to provide support on assignments, concepts, and coding challenges, and assisted in physical sessions to ensure hands-on learning with Python and data science tools.