investing @giant_ventures | phd in neuro from @ucl & @thecrick
London, England
Joined January 2014
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This, 100%. Thinking about, and reasoning on, precise levels of abstraction is ingrained in experimental scientific training. If only there were more biologists and experimentalists in bio companies.
Wild. It is a cell, only caveat being it's not alive (yet) as it does need human support to surive, but it's an exciting start! science.org/content/article/…
🧩 Building something from scratch is a messy, non-linear process, and that’s especially true for science-led startups.
🏭 Later this month, we’re hosting @douglas_brion, founder of @mattalabs, at Giant House for a conversation to tell us all about how he did it.
If you’re a student, researcher, or early builder wondering whether to take the leap, come join us!
Sign up: luma.com/vph1fbdu
> come hack this weekend 👾🧢
> w/ @Giant_Ventures, @MistralAI, @awscloud, @nvidia, @wandb, @elevenlabs, @huggingface, and more
luma.com/mistralhack-london
Francesco Monaca retweeted
Announcing Evo 2: The largest publicly available, AI model for biology to date, capable of understanding and designing genetic code across all three domains of life. arcinstitute.org/manuscripts…
Francesco Monaca retweeted
Autonomous Science enables entirely *new types* of discovery and economics.
We've concluded edge cases - prion research, high-risk pathogen research, geoengineering - and autonomous CRO's - optimization and scale-up - are the best place to start company building.
In order to do this efficiently, we think layering technology unlocks in reasoning and science miniaturization drives the most impact in output and company defensibility.
We're compelled by researchers moving autonomous science from chemicals and materials to proteins and inevitably cells.
Check out the present, past, and future of commercializing autonomous science below.
Francesco Monaca retweeted
Today, a landmark study from @UWproteindesign announced its progress toward creating AI-designed enzymes.
@owl_posting and @eryney_ok explain how their method provides a roadmap for creating other types of dynamic, moving proteins.
Read here: asimov.press/p/ai-enzymes
*Potentially* exciting development from neuro research: BullFrogAI partners with the Lieber Institute, the world’s largest collection of human brain samples, uncovering (unprecedented) AI-led insights at gene level into neuropsychiatric conditions ⏬
ir.bullfrogai.com/news-event…
@csen_crick x @NeuroTechX are hosting a NeuroTech Spotlight ✨🧠✨ event at @TheCrick, discussing all things neuroscience x technology!
(Incredible guests, exciting startups, and obviously drinks 🥂)
Join us (2nd Feb) ➡️ lu.ma/6mgm7mu0
Very happy to share our paper is out in @ScienceMagazine! Special thanks to the amazing team @Ammari_Rachida and @mingran_cao, and great supervisor @jonnykohl 🧠
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It was an honour to meet the Italian ambassador to the UK the other day!
It was an absolute pleasure to welcome the team from @ItalyInUK to the Crick yesterday with @IMalanchi, @f_cicca, @BonfantiLab, @The_serious_dr, @fmorreale_ester, and many more of our Italian colleagues! 🇮🇹🇬🇧
Francesco Monaca retweeted
Do you agree that animal research is essential in #Biology & #MedicalResearch?
📢The EU will be discussing a complete ban of animal research - Please support this initiative pro animal research in Europe & spread the word 🙏
braincouncil.eu/pledge-for-s…
Back in town from a few intense days in Cambridge @Harvard - thanks @TrackingActions and @TrackingPlumes for organising a very useful @DeepLabCut workshop! 🐭 Excited for the next updates! – at Camden Town, London
Francesco Monaca retweeted
Dopamine signalling is important in a number of processes but how it can support them all is unclear. A paper in Nature shows that dopamine release and cell firing may have different functions during reward-related learning. go.nature.com/2HypoK4
