CV

Contact

ETH Zurich — MSc Data Science (GPA: 5.1/6.0) — 2023–2025
- Advanced coursework in machine learning, natural language processing, and statistics
- Research project with Prof. Mrinmaya Sachan on length generalization in Transformer architectures using mechanistic interpretability
Free University Berlin — BSc Computer Science (GPA: 1.2/1.0) — 2018–2022
- Bachelor thesis on explainable deep reinforcement learning
- Exchange semester at University of California, Santa Cruz (UCSC): courses in statistics and machine learning; independent research at the Explainable AI Lab of Prof. Leilani Gilpin (became bachelor thesis)

Stanford University — Master Thesis with Prof. Ludwig Schmidt — Feb 2025–Present
- Collaborating with Stanford and ETH to create a large-scale open-source multimodal dataset focused on web and computer use
- Contributing to data collection, curation, and benchmarking to enable progress in web-scale multimodal learning
Working Student — SEFE Securing Energy for Europe GmbH — Oct 2022–Aug 2023
- Led a data science project to fully automate initial forecasts of energy consumption for large industrial customers
- Served as main business analyst and developer; led stakeholder meetings and implemented Python software with the lead data architect
Researcher — AIEA Lab, UCSC — Jan 2022–Jun 2022
- Independent research on explainable deep reinforcement learning (became bachelor thesis) under Prof. Leilani Gilpin
Teaching Assistant — UCSC — Mar 2022–Jun 2022
- TA for Introduction to Artificial Intelligence (based on UC Berkeley’s CS 188)
- Led weekly exercise sessions on lecture material and Python coding projects

Unsal, M., and Akkus, A. (2025). EasyARC: Evaluating Vision Language Models on True Visual Reasoning. ViSCALE Workshop @ CVPR 2025. arXiv