Twitxy Saved

Maksym Andriushchenko

Verified account This account is verified. Learn more

@maksym_andr

Principal investigator @ELLISInst_Tue & @MPI_IS, advisor @expsecai, mentor @MATSprogram. Past projects: AgentHarm, Claudini, PostTrainBench, Stolen Thoughts.
Tübingen, Deutschland andriushchenko.me Joined April 2018
942 Following 8.3K Followers 2.5K Posts

Latest posts 5

Pinned post

Maksym Andriushchenko Verified account @maksym_andr
I'm still looking for a postdoc to join my group at @ELLISInst_Tue and @MPI_IS! We offer very attractive working conditions (no teaching load, no bureaucracy, very competitive salary). Priority areas: scalable oversight, loss of control, RSI.

If you're interested, fill out this form forms.gle/uu1UrN8RQrSy8w…!
docs.google.com Expression of Interest: AI Safety and Alignment Group (Maksym Andriushchenko) Hi 👋! My name is Maksym Andriushchenko. I'm starting my research group at the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems in September 2025 that focuses on AI safety...
7 replies 33 reposts 174 likes 26K views View on X
Maksym Andriushchenko Verified account @maksym_andr
welcome to the ELLIS Institute Tübingen @nouhadziri!
ELLIS Institute Tübingen Verified account @ELLISInst_Tue 6h
Welcoming @nouhadziri to the ELLIS Institute Tübingen!
We’re delighted to welcome Nouha as an Adjunct Principal Investigator. A Senior Research Scientist at Cohere and Associate Industry Member of Mila, she’s a leading voice on reasoning, safety and security, and multi-agent systems in LLMs.
Her research advances the foundations of capable, reliable, and secure AI agents.
Welcome, Nouha!
🔗 Learn more here: institute-tue.ellis.eu/news/dr-nouha-…
View quoted post on X
1 replies 0 reposts 22 likes 1.5K views View on X
Maksym Andriushchenko Verified account @maksym_andr
ELLIS Institute Tübingen does many things…
Anthropic Verified account @AnthropicAI 3d
New on our Science Blog: How AI is beginning to change scientific modeling.

Scientific models help researchers explain and predict real-world systems—like how a single nerve cell fires, or what happens when neutron stars collide. Recent advances have transformed how scientists fit complex models to data. But scientists still typically write the models manually, and usually need to weigh up several competing versions, each of which might explain the data in a different way.

In a guest post, Jakob Macke, Daniel Gedon, and Stefan Wahl describe how AI is starting to help with these parts of the process. By writing, running, fitting, and revising scientific models as code, AI can explore many possible model structures, and find out which explanations the data support.

anthropic.com/research/teach…
View quoted post on X