Roland
Mühlenbernd
// ML Researcher · Architect of Language Models
I build ML models of language — and increasingly, I evaluate whether today's LLMs actually understand it. My current work develops novel calibration metrics (ESR, CDS) to benchmark frontier models (GPT, Claude, Gemini) on fine-grained social and pragmatic tasks.
My background spans Computer Science, Media Studies, and Computational Linguistics (BSc–MSc–PhD). I bring 15+ years of rigorous modeling — game theory, multi-agent RL, probabilistic NLP — to the question that matters most in applied AI: does the model actually get what humans mean?
I'm actively seeking roles in NLP research, LLM evaluation, or applied language AI where linguistic depth meets engineering ambition.
🏅 ERC Seal of Excellence
💶 €75K Research Grant (NAWA)
🎤 Invited Speaker, Stanford
40+
Publications
50+
Presentations
15+
Years Research
25+
Courses Taught
researcher_profile.py
# Roland Mühlenbernd
focus = [
"LLM evaluation & calibration",
"pragmatics & social meaning",
"language dynamics",
]
stack = {
"ml": ["PyTorch", "HuggingFace"],
"stats": ["Python", "R"],
}
publications = 40 # and counting