# Raphael Siller

> Raphael Siller is a TUM Management & Technology student and ML researcher at LMU University Hospital Munich, building AI for paediatric care and startups.

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. Raphael Siller's goal: Founding a company in medical or physical AI. Open to: Product & Growth roles at early-stage AI health-tech startups after graduating in 2027.

## Key facts

- Name: Raphael Siller
- Now: ML research assistant at LMU Klinikum
- Based in: Munich, Germany
- Studying at: TU Munich, NUS Singapore
- Speaks: German, English, French, Spanish
- Email: raphael.siller@tum.de
- LinkedIn: https://www.linkedin.com/in/raphaelsiller
- Website: https://raphaelsiller.eu/ (German: https://raphaelsiller.eu/de/)
- Last updated: 2026-11-09

## 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.
- **I 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.

## Reading pain in children’s faces (LMU Klinikum)

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

- 2027: TUM Entrepreneurship Exchange, National University of Singapore (Singapore). Selected for a startup experience in Singapore, January to June 2027.
- 2026 – now: 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.
- 2026 – 27: Bachelor’s thesis, TUM Entrepreneurship Research Institute (Munich). Large language models for construct measurement: capturing the transformative orientation of young ventures.
- 2026: 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.
- 2025 – 26: 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.
- 2024 – 27: 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.
- 2024: 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.
- 2023: 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.
- 2022 – 23: Finance Intern, Erste Group and Raiffeisen (Salzburg). Financial analyst internship at Erste Group and the Raiffeisen Finance Academy.

## Skills

- 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
- Languages: German (Native), English (C1), French (B1), Spanish (A2)

## Awards

- 1st place, Matura Award 2024 (Salzburg)
- 2nd place, Salzburg state Philosophy Olympiad 2024

## 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.

## Links

- [Homepage, English](https://raphaelsiller.eu/)
- [Homepage, German](https://raphaelsiller.eu/de/)
- [LinkedIn](https://www.linkedin.com/in/raphaelsiller)
- [Imprint & privacy](https://raphaelsiller.eu/legal/)