Research, industry & community

Experience

My research experience and the teams I have worked with, in academia and beyond.

Massachusetts Institute of Technology

Graduate Researcher

MIT Energy Initiative · In collaboration with LIDS / CSAIL.

Multi-agent and hierarchical reinforcement learning, with a focus on coordination and structured representations.

Related work

Harvard

Graduate Researcher

LLM interpretability, language bias, and multilingual evaluation, supervised by Ryan Badman.

Related work

Harvard / Kempner

Graduate Researcher

With the lab of Kanaka Rajan.

Multi-agent social foraging, recurrent reinforcement-learning agents, and behavioral analysis.

Related work

Porsche

Research Intern

Post-training and fine-tuning of transformer and diffusion models for simulation surrogates, multimodal learning, and evaluation on unseen states.

WZL, RWTH Aachen

Student researcher

Digital factory planning and production systems; co-author of a CIRP ICME 2026 conference paper.

Related work

MMP / RWTH Aachen

Bachelor's research

Hierarchical and multi-agent reinforcement learning for sequential decision-making and coordinated operating policies.

Related work

Mercedes-Benz

Engineering internship

Project coordination, technical information, and stakeholder communication in vehicle development.

Ecurie Aix

Formula Student · Software & controls

Driverless and performance software, automated track generation, and machine-learning analysis in a student racing team.

Entrepreneurship

PrognoseWerk

Co-founder

Building forecasting software for leisure venues, with work spanning machine learning, customer conversations, and product development.

Related work

Leadership & community

MIT VISTA

Board member

Supporting the community of international students visiting MIT.

IT4Kids

Volunteer

Teaching children programming and contributing to digital education and data analysis.

IDEA League Challenge Programme

Selected participant

An international programme focused on leadership, technology, and interdisciplinary challenges.