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Jonas Verhellen

@jonasverhellen.bsky.social

1.7K followers 2.1K following 37 posts

Theoretical physicist with a PhD in neuroscience. Postdoc in protein-protein interactions. Into art, science, and innovation. Currently: Copenhagen 🇩🇰 Previously: Oslo 🇳🇴, London 🇬🇧, Brussels 🇧🇪

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Jonas Verhellen @jonasverhellen.bsky.social · 02/06/2025

#ICCS25 GENEOnet: Accurate Protein Binding Pocket Detection

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Jonas Verhellen @jonasverhellen.bsky.social · 01/06/2025

#ICCS25 A Chemoinformatics Journey (in 17 parts) by Mike Lynch Awardee Val Gillet.

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Jonas Verhellen @jonasverhellen.bsky.social · 01/06/2025

Made it to @intconfchemstr.social.edu.nl.ap.brid.gy just in time for the Mike Lynch Award (after about 6 hours of public transport).

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Jonas Verhellen @jonasverhellen.bsky.social · 04/05/2025

Big news! I've received a DKK 2.97 million postdoc grant from the Lundbeck Foundation to kick off my independent research at the University of Copenhagen! lundbeckfonden.com/news/young-t... #neuroscience #postdoc #LundbeckFoundation #mentalhealth

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Jonas Verhellen @jonasverhellen.bsky.social · 07/04/2025

I was very happy to discover Copenhagen has a statue for @janhjensen.bsky.social! 🦉🦉🦉

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Jonas Verhellen @jonasverhellen.bsky.social · 14/02/2025

Happy Valentine's day! And for all of us who need some extra love today - especially the NIH folks - here's a happy oxytocin molecule! 💞🧪

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Jonas Verhellen @jonasverhellen.bsky.social · 24/12/2024

I opened BlueSky during someone else's turn and your post was the first thing I saw. 😊🎄😂

People playing the board game "Tokado" with candles in the background.

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Jonas Verhellen @jonasverhellen.bsky.social · 20/12/2024

🔬 More #SciComm! 🔬 This week’s figure shows how severe mental disorders affect the entire body. 🧠 While these disorders are known for their impact on brain functioning (blue), patients are also disproportionately affected by physical diseases (red). Details 👇!

Severe Mental Disorders Affect The Entire Body. Severe mental disorders are characterised by their detrimental effect on brain functioning (shown in blue), but patients suffering from these diseases are also disproportionately affected by a range of other diseases (shown in red). For each cluster of diseases comorbid with schizophrenia or bipolar disorder, we highlight a representative organ and provide the 95% confidence interval mortality risk ratio in incident and prevalent schizophrenia cases versus the general population.

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Jonas Verhellen @jonasverhellen.bsky.social · 09/12/2024

🔬 Hello, BlueSky! Time for some more #SciComm! 🔬 Last week’s (procrastination 🙈) figure illustrates the frequency spectrum of genetic risk factors for Schizophrenia: common variants (blue), protein truncating variants (red), and copy number variations (green). More 👇!

A figure illustrating the frequency spectrum of genetic risk factors for schizophrenia, with three categories represented by distinct colors: blue for common variants, red for protein-truncating variants, and green for copy number variations (CNVs). Each category is paired with a representative gene: C4A for common variants, SETD1A for protein-truncating variants, and NRXN1 for CNVs.

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Jonas Verhellen @jonasverhellen.bsky.social · 29/11/2024

🔬 Hello, BlueSky! Time for some #SciComm! 🔬 This week’s figure illustrates the onset and progression of schizophrenia, integrating symptom intensity (blue line), environmental and genetic risk factors (red boxes), and key disease milestones (white boxes) as they unfold across age.

A graph illustrating the typical onset and progression of schizophrenia over time, with age on the x-axis and symptom intensity on the y-axis. A blue line represents symptom intensity, starting low in early childhood, increasing during adolescence, and peaking in early adulthood. Red boxes along the timeline highlight risk factors such as genetic predispositions and environmental triggers. White boxes mark key milestones in disease progression, including the prodromal phase, first psychotic episode, and chronic stages. A green-shaded area indicates a "window of opportunity" for early intervention, occurring before symptom intensity sharply increases.

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Jonas Verhellen @jonasverhellen.bsky.social · 13/11/2024

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Jonas Verhellen @jonasverhellen.bsky.social · 28/06/2024

📄 Preprint: doi.org/10.26434/che... 💻 GitHub: github.com/Jonas-Verhel... 📰 Docs: jonas-verhellen.github.io/Bayesian-Ill... Bayesian Illumination has been accepted at the ICML ML4LMS workshop! More updates to come!

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Jonas Verhellen @jonasverhellen.bsky.social · 28/06/2024

🚀 Excited to announce that "Bayesian Illumination: Inference and Quality-Diversity Accelerate Generative Molecular Models" is now available! Key takeaway: Bayesian Illumination is 100x more effective than either genetic algorithms or deep generative models. 📊

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Jonas Verhellen @jonasverhellen.bsky.social · 07/10/2023

Over the summer, I wrote a blog post series based on my PHD thesis. ✍️ So, whether you are a fellow academic, a curious mind, or simply looking to expand your knowledge, check it out! I'll be republishing announcements here from time to time. ✨ Link: jonas-verhellen.github.io/blog-thesis-...

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