I'm Swiss, 24 years old, highly driven and technically proficient machine learning engineer!
CS Master's student working as a Research Assistant, with a focus on large language model (LLM) evaluation and multi-agent simulations. Co-authored 3 papers published at workshops and top-tier conferences, with experience managing the entire research process—from experimental design to publication. Proficient in a wide array of technical tools and programming languages essential for data science and machine learning.
I’m working as Student Research Assistent with Zhijing Jin at ETH Zürich.
I am looking for a full time position starting January 2025.
If you're looking for someone that
- has broad machine learning expertise
- is able organize and manage large experiments
- loves to code from 0 to 100 an ML solution then I might be your guy.
I worked on Multilingual Trolley Problems for Language Models (Paper Under review)
During my Master Thesis I worked on Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents, which resulted in a paper under review. I've created a multi-agent simulation plattform for Large Language Model, Governance of the Commons Simulation to test if LLMs achieve sustainable equilibrium and investigate multi-agent collaboration.
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems (Paper accepted at ECAI 2024): A framework for synthetic environments that simulate human behavior by harnessing the capabilities of large language models (LLMs). We complement our framework with in-depth ablation studies and demonstrate its effectiveness with experiments on movie and book recommendations. By utilizing LLMs as synthetic users, we introduce a modular and novel framework for training RL-based recommender systems.
Learning to Bluff and Cooperate: RL in Briscola We construced a multi-agent Briscola (italian card game) environment and trained RNN-based agents using reinforcement learning.
If you want to connect with me, feel free to send me a DM on Linkedin!