Dominik Meier
PhD Student in Computer Science, Cornell Tech
me [AT] dominikmeier.io
Bio
I'm a PhD student in Computer Science at Cornell Tech, where I research algorithmic decision-making systems in high-stakes domains like healthcare. My work focuses on designing algorithms that transform personally collected data into meaningful insights, enabling individuals to reflect, experiment, and take informed action.
Publications
Most recent publications on Google
Scholar.
‡ indicates equal contribution.
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier‡, Sujai Hiremath‡, Promit Ghosal, Kyra Gan
arXiv preprint. 2025.
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
Brian Cho, Dominik Meier, Kyra Gan, Nathan Kallus
AISTATS'25: Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. 2025.
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier‡, Sujai Hiremath‡, Promit Ghosal, Kyra Gan
arXiv preprint. 2025.
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
Brian Cho, Dominik Meier, Kyra Gan, Nathan Kallus
AISTATS'25: Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. 2025.
Designing and Evaluating an Online Reinforcement Learning Agent for Physical Exercise Recommendations in N-of-1 Trials
Dominik Meier, Ipek Ensari, Stefan Konigorski
ML4H'23: Proceedings of the 3rd Machine Learning for Health Symposium. 2023.
GPUCSL: GPU-Based Library for Causal Structure Learning
Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
ICDMW'22: 2022 IEEE International Conference on Data Mining Workshops. 2022.
Trusscillator: A System for Fabricating Human-Scale Human-Powered Oscillating Devices
Robert Kovacs, Lukas Rambold, Lukas Fritzsche, Dominik Meier, Jotaro Shigeyama, Shohei Katakura, Ran Zhang, Patrick Baudisch
UIST'21: The 34th Annual ACM Symposium on User Interface Software and Technology. 2021.
Structure-Preserving Editing of Plates and Volumes for Laser Cutting
Thijs Roumen, Ingo Apel, Thomas Kern, Martin Taraz, Ritesh Sharma, Ole Schlueter, Jeffrey Johnson, Dominik Meier, Conrad Lempert, Patrick Baudisch
SCF'22: Symposium on Computational Fabrication. 2022.
Toward Exploratory Understanding of Software Using Test Suites
Dominik Meier, Toni Mattis, Robert Hirschfeld
Programming'21: Companion Proceedings of the 5th International Conference on the Art, Science, and Engineering of Programming. 2021.
CV
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Cornell Tech Aug 2024 - presentPh.D. Student
Computer Science -
Brown University Oct - Dec 2023Visiting Master Student
Bayesian models for adaptive intervention selection
PROMOS scholarship from DAAD -
Hasso Plattner Institute Oct 2019 - Aug 2024M.Sc. IT-Systems Engineering
With distinction
Special interests: HCI, Digital Health, Innovation -
Hasso Plattner Institute Oct 2016 - Sep 2019B.Sc. IT-Systems Engineering
With distinction
Special interests: HCI, Big Data Analysis, Algorithm Engineering
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