Michiel ☁️ (@michielstock) 's Twitter Profile
Michiel ☁️

@michielstock

Machine learning and computational biology researcher. Develops models to understand ecology and synthetic biology. Likes 📚, ☕, 👨‍🍳, 👨‍💻 and ☁️s.

ID: 166536618

linkhttps://michielstock.github.io/ calendar_today14-07-2010 11:52:01

6,6K Tweet

1,1K Followers

1,1K Following

AukeHoekstra (@aukehoekstra) 's Twitter Profile Photo

I see this a lot: Conservatives who *just know* that nuclear is better than solar and thus blame their favorite scapegoat *the government* for solar doing better. But in reality it's the opposite: the market likes solar so much that not even the government can save nuclear.

Iain Johnston (@mitomaths) 's Twitter Profile Photo

News! (and RTs much appreciated). Norway has funding opportunities for excellent researchers outside Europe to join projects like this one. If you're interested in (a) biomathematics, bioinf, or mitochondria and (b) Norway (it's awesome), drop me a DM! forskningsradet.no/en/call-for-pr…

Michiel ☁️ (@michielstock) 's Twitter Profile Photo

Small blog post on how to automate model building for mechanical systems using ModelingToolkit. #julialang michielstock.github.io/posts/2025/pen…

Small blog post on how to automate model building for mechanical systems using ModelingToolkit. #julialang

michielstock.github.io/posts/2025/pen…
Michiel ☁️ (@michielstock) 's Twitter Profile Photo

Just back from a workshop in Bristol, followed by an exam for 180 students in the afternoon. Now grading and thesis defenses #busybusy

Michiel ☁️ (@michielstock) 's Twitter Profile Photo

Happy to see students did so well on the exam, being able to give so many good grades is nice to close the academic year 😊

Michiel ☁️ (@michielstock) 's Twitter Profile Photo

The Incerto books are written in a provocative style that may not appeal to everyone. Beneath the prose, each book explores a profound concept in probability theory. I tried to strip each to its bare bones. (1/6)

The Incerto books are written in a provocative style that may not appeal to everyone. Beneath the prose, each book explores a profound concept in probability theory. I tried to strip each to its bare bones. (1/6)
Michiel ☁️ (@michielstock) 's Twitter Profile Photo

Evolution encodes life histories in the genome, which can act as a generator for a wide variety of phenotypes and morphologies. These "bowtie architectures" are similar to bottlenecks in a VAE. Interesting paper by Hartl and Michael Levin. cell.com/trends/genetic…

Evolution encodes life histories in the genome, which can act as a generator for a wide variety of phenotypes and morphologies. These "bowtie architectures" are similar to bottlenecks in a VAE. Interesting paper by Hartl and <a href="/drmichaellevin/">Michael Levin</a>.
cell.com/trends/genetic…
Michiel ☁️ (@michielstock) 's Twitter Profile Photo

Active inference and the free energy principle promise a ground-up, physics-based explanation for the brain. It is both intriguing and (often) incomprehensible. Parr's very accessible book explains FEP from the ground up. Recommended!

Active inference and the free energy principle promise a ground-up, physics-based explanation for the brain. It is both intriguing and (often) incomprehensible. Parr's very accessible book explains FEP from the ground up. Recommended!
Thomas Smolders (@ljosmyndun) 's Twitter Profile Photo

The American mind cannot comprehend how one can jump on a bike and be in another country in less than an hour when biking to the north, and in another country in 3 hours when biking to the south.

Michiel ☁️ (@michielstock) 's Twitter Profile Photo

The application paper of our hyperdimensional transform. We show how you can map functions and distributions to hypervectors and how to use them for probabilistic modelling, regression, classification, uncertainty quantification, and more! link.springer.com/epdf/10.1007/s…

The application paper of our hyperdimensional transform. We show how you can map functions and distributions to hypervectors and how to use them for probabilistic modelling, regression, classification, uncertainty quantification, and more!
link.springer.com/epdf/10.1007/s…