Hello, I'm Till Richter

2019 | Machine Learning Lab

What I did

Graphs are a ubiquitous structure, that can be detected in social, scientific and IT applications, to name only a few. In wintersemester 2019 I conducted research on a central problem in graph theory. As graphs become larger, applying machine learning models on them becomes intractable. Thus, embedding techniques are required to capture a graph's or a node's characteristics in lower dimensional space. In the course of the Machine Learning Lab Course of TUM's Data Analytics and Machine Learning Group, I conducted a survey on node embeddings together with my great teammates Jan and Christos and inspiringly supervised by Oleksandr Shchur. Our key findings can be reviewed on our poster.

What I learned

• Machine Learning Research
• Large Scale Software Project
• Work in a Scientific Community

2019 | scio

What I did

I was a member of the Think.Make.Start Batch #9, where groups of selected students develop prototypes within 10 days. My team developed scio, a legal-tech startup which works with natural language processing on legal documents. Due to positive feedback and our intrinsic motivation we all are continuing to develop.

What I learned

• Innovator's and Entrepreneurial Spirit
• Projects with highly talented people
• Business Design, Design Thinking, Agile Methods

2018 | Winner HackaTUM, AID Challenge

What I did

At the hackathon my team and I chose to develop a prototype for autonomous taxis to be called without the necessity of app-usage. The project was primarily set against the background of the democratisation of modern technologies. For example, elderly people who are not familiar with apps should not be excluded from mobility. We implemented a hailing detection into a small framework for taxi-communication (Visit our project on Devpost)

What I learned

• Teamwork in a diverse team
• Communication between experts, focussing and redeveloping our vision

2017-2018 | Medical iDENTity

What I did

In my last year of the bachelor‘s I did an internship together with my bachelor‘s thesis at Medical iDENTity, a spin-off of the IRT in Hannover, lead by Prof. Dr. Haddadin. In my thesis I worked on the Panda light weight robot by Franka Emika, which the startup aims to implement into working spaces together with humans. Thus, many aspects about safe human-robot collaboration, but also the desired work were considered. Furthermore, I conducted business related research for the startups strategic alignment. This was my first real touch with artificial intelligence, which definitely shaped my academic career.

What I learned

• ROS, Python programming on the LWR Panda by Franka Emika
• Business related research in startup environment
• Working towards a common vision, safe human-robot collaboration

2015-2018 | VWI

What I did

During my bachelor‘s I was an active member of the German Association for Industrial Engineers (VWI e.V.), where I took part in diverse workshops, excursions and many different events. In my last year, 2017-2018, I took the responsibility to become a member of our initiative‘s managing board, where I particularly lead its communication.

What I learned

• Leadership for the student initiative and for ourselves
• Organization for our projects and my responsibilities