Student · Munich
Raphael Siller
I study business and tech at TUM.
Now I build AI for paediatric surgeons.
Off screen: street photography, tennis and solo backpacking.
The short version
Hi, I’m Raphael. I study Management & Technology at the Technical University of Munich and work as a machine learning research assistant at LMU University Hospital Munich, where I build AI that estimates pain in children from their facial expressions. I grew up in Salzburg, live in Munich and spend spring 2027 in Singapore.
- Now
- ML research assistant at LMU Klinikum
- Based in
- Munich, Germany
- Studying at
- TU Munich, NUS Singapore
- Speaks
- German, English, French, Spanish
Why you might want me on your team
I translate between clinic and code.
At LMU University Hospital I sit between paediatric surgeons, external experts and the engineering side. I turn what clinicians need into a model, a data pipeline and an annotation tool that 50+ clinical experts actually use.
What that looks likeI have prepared a fundraise.
As founder’s associate at the climate-tech startup SolarMarkise I co-wrote the investor memorandum, built the valuation model and set up the data room for the pre-seed round.
I pick up the organising.
On the TUM.ai management board I ran hackathons with 100+ participants and closed a partnership with VivaTech Paris. At my residence hall, Ludwigskolleg Munich, I represent the students.
I ask what technology does to people.
My essay on artificial intelligence versus Socrates won second place at the Salzburg state Philosophy Olympiad. I still read a lot on technology policy and human-AI interaction, and I spent a summer working in public procurement law.
LMU Klinikum
Reading pain in children’s faces
Young children often cannot say how much pain they are in. In the Department of Paediatric Surgery at LMU University Hospital Munich I build the AI that helps staff read it from their faces.
A model that reads pain
A computer vision model in Python and PyTorch that estimates children’s pain from facial expressions, from clinical need to working prototype.
Data where there is none
Paediatric facial pain data is scarce, so I designed a diffusion-based pipeline that generates synthetic training images.
A tool clinicians use
I owned the end-to-end build of a web-based, human-in-the-loop annotation platform for 50+ clinical experts.
The route so far
TUM Entrepreneurship Exchange
National University of Singapore · Singapore
Selected for a startup experience in Singapore, January to June 2027.
Machine Learning Research Assistant
LMU University Hospital Munich · Munich
Department of Paediatric Surgery. Computer vision for pain assessment in children, synthetic data and annotation tooling.
What that looks likeBachelor’s thesis
TUM Entrepreneurship Research Institute · Munich
Large language models for construct measurement: capturing the transformative orientation of young ventures.
Founder’s Associate
SolarMarkise · Cologne
Pre-seed solar awning startup. Investor memorandum, cost-to-duplicate valuation, data room, public funding map (EU, KfW) and a new solar-cell supplier.
Head of Innovation, Management Board
TUM.ai · Munich
Europe’s leading student AI initiative. Hackathons with 100+ participants, a concept for a European hackathon league, the VivaTech Paris partnership, member manager and financial dashboards.
B.Sc. Management and Technology
Technical University of Munich · Munich
Minor in Electrical Engineering and Information Technology. Coursework includes Machine Learning for Business Analytics, AI Value Creation (by BCG) and Applied Econometrics. Innovation Sprint on reducing car ownership in Munich.
Austrian Matura, grade 1.0
Gymnasium St. Ursula Salzburg · Salzburg
Top of class. 1st place at the Matura Award for my thesis on what drives investment fund performance; 2nd place at the state Philosophy Olympiad.
Legal Intern, Public Procurement Law
Schiefer Rechtsanwälte · Salzburg
Bid evaluation for the University of Salzburg and tender notices for 4 major clients, contributing to €3M+ in bids.
Finance Intern
Erste Group and Raiffeisen · Salzburg
Financial analyst internship at Erste Group and the Raiffeisen Finance Academy.
Tools I build with
- Python
- PyTorch
- SQL
- Claude Code
- Figma
- Lovable
What I work on
- Computer vision
- Synthetic data
- Clinical AI
- Customer discovery
Beyond code
- Fundraising
- Financial modelling
- Partnerships
- Event organising
- Expert interviews
Off the clock
Street photography, cooking and tennis. The rest of the time I am usually somewhere with a backpack.
I have also volunteered as a fundraiser for humedica and youngCaritas and as an assistant teacher at a primary school for children with special needs.
One per day. Come back tomorrow.
Quick answers
- Who is Raphael Siller?
- Raphael Siller is a Management & Technology student at the Technical University of Munich (TUM), originally from Salzburg, Austria. He works as a machine learning research assistant at LMU University Hospital Munich, where he builds computer vision for paediatric pain assessment, and has worked with early-stage startups on fundraising and product.
- Where does Raphael Siller work?
- Raphael Siller has worked at LMU University Hospital Munich (LMU Klinikum) since January 2026, as a machine learning research assistant in the Department of Paediatric Surgery. Before that he was founder’s associate at the climate-tech startup SolarMarkise and Head of Innovation at TUM.ai.
- What does Raphael Siller study?
- Raphael Siller studies for a B.Sc. in Management and Technology at the Technical University of Munich, with a minor in Electrical Engineering and Information Technology, and expects to graduate in August 2027. From January to June 2027 he is in Singapore for the TUM Entrepreneurship Exchange.
- Which languages does Raphael Siller speak?
- Raphael Siller speaks German natively, English at C1 level, French at B1 level and Spanish at A2 level.
- How can I contact Raphael Siller?
- The best ways to reach Raphael Siller are by email at raphael.siller@tum.de or on LinkedIn at linkedin.com/in/raphaelsiller.
Building something with AI? Tell me about it.
Happy to talk about health tech, startups or a good street photography spot.