Mojmir Mutny
@mmutny.bsky.social
Machine Learning Scientist @ ETH Zurich, Active Learning, Sequence Design, GenAI
Pinned
Mojmir Mutny
@mmutny.bsky.social
· Feb 24
Experiment design, Bayesian optimization or Active learning -- all under one umbrella. The advent of self-driving labs is here. We need strategies to implement automatic information gathering! ML models are only as informed as the data they are trained on.
Do you want to learn about how AI can help improve the sustainability of chemistry. Consider applying for Master thesis fellowship from NCCR catalysis. www.nccr-catalysis.ch/diversity/fe...
NCCR Catalysis fellowships
www.nccr-catalysis.ch
February 25, 2025 at 8:44 AM
Do you want to learn about how AI can help improve the sustainability of chemistry. Consider applying for Master thesis fellowship from NCCR catalysis. www.nccr-catalysis.ch/diversity/fe...
New preprint available: www.arxiv.org/abs/2502.14689 We review likelihood-based method for constructing confidence sets. Anytime, finite-sample, provably accurate and practical confidence sets!
Amazing collaboration from ETH Zurich and Swiss Data Science Center.
Amazing collaboration from ETH Zurich and Swiss Data Science Center.
February 24, 2025 at 11:43 AM
New preprint available: www.arxiv.org/abs/2502.14689 We review likelihood-based method for constructing confidence sets. Anytime, finite-sample, provably accurate and practical confidence sets!
Amazing collaboration from ETH Zurich and Swiss Data Science Center.
Amazing collaboration from ETH Zurich and Swiss Data Science Center.
Are you interested in how machine learning will shape the future of biocatalysis? Then join us for the ML for Biocatalysis Workshop in Zurich! 🧬🤖 Discover how ML & computational tools are advancing enzyme design and discuss challenges at the interface of wet lab and dry lab.
February 24, 2025 at 10:56 AM
Are you interested in how machine learning will shape the future of biocatalysis? Then join us for the ML for Biocatalysis Workshop in Zurich! 🧬🤖 Discover how ML & computational tools are advancing enzyme design and discuss challenges at the interface of wet lab and dry lab.
Experiment design, Bayesian optimization or Active learning -- all under one umbrella. The advent of self-driving labs is here. We need strategies to implement automatic information gathering! ML models are only as informed as the data they are trained on.
February 24, 2025 at 10:51 AM
Experiment design, Bayesian optimization or Active learning -- all under one umbrella. The advent of self-driving labs is here. We need strategies to implement automatic information gathering! ML models are only as informed as the data they are trained on.