David Attenborough’s legacy is that he has shown us, in breathtaking detail, everything we were too greedy, short-sighted, and complacent to save — while still convincing generations of people that the natural world is worth fighting for.
Manuel Razo
@mrazo.bsky.social
Postdoc @ Stanford | Schmidt Science Fellow ’21 | Biophysics & Evolution | Bayes Theorem Advocate | Proudly Mexicano 🇲🇽
Very proud of this paper, now officially out at PRX LIFE journals.aps.org/prxlife/abst.... Here @mrazo.bsky.social shows that geometry-aware autoencoder architecture can discover low dimensional phenotypic spaces traversed by evolution. 1/2
scholar.google.com
Finally out in PRX Life! 🥂 I’m a huge believer in preprints, but it feels great to have the formal version of this work live. Mastering these deep learning approaches was the bridge that led me from this research to my current role in industry. Check it out: journals.aps.org/prxlife/abst...
Learning the Shape of Evolutionary Landscapes: Geometric Deep Learning Reveals Hidden Structure in Phenotype-to-Fitness Maps
This study details a data-driven implementation of Fisher's geometric model --- providing an empirically grounded approach for understanding evolutionary dynamics using deep learning methods.
journals.aps.org
1/n 🧵 Excited to share our new paper! We developed a framework to reveal hidden simplicity in how organisms adapt to different environments, particularly focusing on antibiotic resistance evolution. #EvolutionaryBiology #MachineLearning
Very excited about this work by @mrazo.bsky.social in collaboration with www.madhavmani.com bsky.app/profile/mraz... I am so lucky to be able to collaborate with such brilliant people! Learned a lot. This is our first foray into ML approaches and I am quite taken with their power 1/n
madhavmani.com
1/n 🧵 Excited to share our new paper! We developed a framework to reveal hidden simplicity in how organisms adapt to different environments, particularly focusing on antibiotic resistance evolution. #EvolutionaryBiology #MachineLearning
1/n 🧵 Excited to share our new paper! We developed a framework to reveal hidden simplicity in how organisms adapt to different environments, particularly focusing on antibiotic resistance evolution. #EvolutionaryBiology #MachineLearning
Learning the Shape of Evolutionary Landscapes: Geometric Deep Learning Reveals Hidden Structure in Phenotype-to-Fitness Maps https://www.biorxiv.org/content/10.1101/2025.05.07.652616v1