Konstantin Hebenstreit
PHD at Medical University of Vienna
Vienna, Austria
Summary
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Rockstar🎓
Top SchoolKonstantin Hebenstreit is a PhD researcher in Artificial Intelligence at the Medical University of Vienna specializing in truthfulness, transparency, and robustness of large language models. With six years of experience bridging AI, psychology, and healthcare, he applies interdisciplinary methods to ensure AI systems are both technically sound and human-centered. His work combines rigorous machine learning practice with insights from psychology and health literacy, a background that informs research into responsible AI for sensitive domains. Past roles include NLP-focused internships in computational social science and hands-on experience in health settings, giving him practical exposure to real-world data and stakeholder needs. Currently supervised by Matthias Samwald, he pursues research that pushes model capability while reducing harm and increasing interpretability. He is open to collaborations that translate AI safety research into deployable solutions for healthcare and policy contexts.
6 years of coding experience
1 year of employment as a software developer
Master, Artificial Intelligence, Master, Artificial Intelligence at Johannes Kepler Universität LinzBachelor, PSYCHOLOGY, Bachelor, PSYCHOLOGY at Universität WienSir Karl Popper SchuleBachelor, Physical Therapy/Therapist, Bachelor, Physical Therapy/Therapist at FH JOANNEUM
Stackoverflow
43reputation
8kreached
1answer
1question
Github Skills (28)
chain10
question-answering10
reasoning10
ubuntu9
pdf-viewer9
machine-learning9
pdf9
natural-language-processing9
arch9
pen9
nlp9
wacom9
handwriting8
debian8
large-language-models8
Programming languages (3)
Github contributions (5)
KonstantinHebenstreit/ThoughtSource
Oct 2022 - Nov 2022
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
Contributions:20 pushes, 2 branches in 20 days
nlpopen-resourcelarge-language-modelsthoughtmachine-learning
KonstantinHebenstreit/langchain
Feb 2023 - Mar 2023
⚡ Building applications with LLMs through composability ⚡
Contributions:4 pushes, 1 branch in 17 days
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