Maksym Andriushchenko
Priority directions:
- Risks from automating AI research
- Automating safety and alignment research
- AGI privacy
- Measuring long-horizon agentic capabilities
- New alignment methods
- Science of post-training
Stream overview
I'm interested in all areas of AI safety and alignment, but my priority directions are:
- Risks from automating AI research
- Automating safety and alignment research
- AGI privacy
- Measuring long-horizon agentic capabilities
- New alignment methods
- Science of post-training
Tübingen
Mentors
I am a principal investigator at the ELLIS Institute Tübingen and the Max Planck Institute for Intelligent Systems, where I lead the AI Safety and Alignment group. I also serve as chapter lead for the new edition of the International AI Safety Report chaired by Prof. Yoshua Bengio. I have worked on AI safety with leading organizations in the field (OpenAI, Anthropic, UK AI Safety Institute, Center for AI Safety, Gray Swan AI). I obtained my PhD in machine learning from EPFL in 2024 advised by Prof. Nicolas Flammarion. My PhD thesis was awarded the Patrick Denantes Memorial Prize for the best thesis in the CS department of EPFL and was supported by the Google and Open Phil AI PhD Fellowships.
Fellows we are looking for
I'm looking for the following skills:
- Prior research experience in a topic related to AI safety (at least one completed project with first-author contribution)
- Independent, self-driven personality
- Strong general computer science background
- Ideally, a good software engineering background
- Familiarity with deep learning frameworks
- Clear communication
Project selection
I would prefer to set the overall direction, but I will listen closely to scholars about their preferences within a broad direction. Converging on a particular topic is expected to be a collaborative process.