Dennis Aumiller

This site is currently under construction and will gradually come online soon!
I apologize for the crazy layout!


I am currently a PhD student at the Database Systems Research Group at Heidelberg University, supervised by Prof. Dr. Michael Gertz, where I study how large document collections can be made more accessible to humans. Additionally, I am a part-time software engineer for Codefy, where we provide legal professionals in Germany with advanced search solutions. If you want to know more about me, consider also checking out my full CV, or consider contacting me directly. My online aliases, as well as an email address, can either be found at the bottom of this page, or the website imprint.


I previously did my undergrad and Master's degree in the Applied Computer Science program at Heidelberg University. During my studies, I have also completed an exchange year in the prestigious Computer Science program at the University of Toronto.

Professional Experience

Professionally, my interests mainly focus around Natural Language Processing and Machine Learning, with a special focus on Document Summarization and Search. I have previously interned at SAP SE in Walldorf, where I was working on optimizations for Machine Learning pipelines. Most of my other professional experience is in teaching, as I have held several positions as a Teaching/Lecture Assistant at during my Bachelor's and Master's. I am fortunate enough that I can continue this during my PhD, where I additionally supervise student projects and theses. At our chair, we put special focus on teaching students real-world skills, which includes regular code reviews, as well as large group projects, also co-supervised by me.

Personal Projects

Related to teaching, I also spend a lot of my free time to answer questions on Stackoverflow, where I rank highly in several Machine Learning-related tags, and have been in the top 5% of users every year since 2018. In my remaining spare time, I have previously worked on Metaplx, a project that aims to utilize state-of-the-art Artificial Intelligence to automatically extract clinical data from scholarly articles, which can creatly reduce the overhead for medical professionals at all levels. For more of my smaller projects, you can also check out my personal GitHub.


For now, a list of already published research papers is available on my Google Scholar Page. A full list of manuscripts, including preprints and unpublished results, can be found on my university homepage.


I plan to host several articles on the webiste, related to neat little hacks that helped me before, but also for the occasional side project stint. These articles will be accessible soon.