So true.....

📢 We are #hiring!

▫️Head, Advanced #Genomics Technologies Core Facility
▫️Head, #Histopathology Core Facility
▫️Research Associate on #genAI applied to #DrugDiscovery
▫️ Product Engineer

...& many more!

 ➡️ https://bit.ly/irbjobs

#IRBJobs #ScienceJobs #JobOffer #OncoSky #AcademicSky

Join a keynote conversation on AI’s next big moment in driving health, economic and social good in Canada featuring Christine Allen, Alán Aspuru-Guzik, and Milica Radisic at the Desjardins Speaker Series on March 5. Spots are limited, register now: uoft.me/uteweek2026-... #UofTEntWeek #UofTStartup

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Interesting….

Thought of the day. From Richard Feynman @proffeynman.bsky.social in “Surely you’re joking, Mr Feynman!”

I’m going to halve my publication output. You should consider slow science, too If we don’t slow down, the research enterprise is going to crash, argues Adrian Barnett.

This is something I've been thinking about for a couple of years now. Let's do better science and it doesn't (necessarily) mean publishing tons of papers....

🙋‍♂️🙋‍♂️🙋‍♂️

Not wrong….

This is what acknowledgments are for!

PS: the paper is also super cool!

Paper: www.pnas.org/doi/pdf/10.1...

So true….

😅😅😅😅

I love this!

😅😅😅

Not sure how AF3-gen works, but data coming from BoltzGen might be useful to check the effect of energy-based filtering and diffusion vs backprop…. Just brainstorming here.

For the BindCraft x RFD, I wonder if the energy-based filtering would be the thing to distinguish binders from non-binders and high-affinity from low-affinity binders.

I don’t remember who I got this from. Sorry for not citing you, author!!!

Are quantum computers the next revolution in drug discovery?

Please, take some time to read this great paper from my very good friend Mohammad Ghazi Vakili and supervised by the visionary @aspuru.bsky.social !

PS: I loved the cover image!

If you are an AI researcher (in academia or industry) outside of Canada and willing to move to Canada, there is a great opportunity: www.canada.ca/en/impact-pl... please get in touch! We would love to hear from people who apply AI in health and neuroscience too!

University is only fee free in a small handful of countries. Source: buff.ly/PAuDqrF

Picard management tip: If you only play to your strengths you may look competent but ultimately you will stagnate. Play to your weaknesses as well. Improve with practice. There is so much more to learn.

Cracking chemistry with quantum simulations Dynamic characteristics of complex chemical reactions can be accurately modeled by a quantum computer

Now in Science: Cracking quantum chemistry with quantum computers - a new perspective article by Philipp Schleich and @aspuru.bsky.social

🔗 www.science.org/doi/epdf/10....
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What coding with an LLM feels like sometimes.

Picard management tip: If they know their jobs, leave them alone. If they don't, help them learn.

Research Associate positions in Computational Chemistry, AI in Chemistry, and in Neurosymbolic Learning for Chemistry at Imperial College London An opportunity for an academic position as a Research Associate positions in Computational Chemistry, AI in Chemistry, and in Neurosymbolic Learning for Chemistry is available, as advertised on jobs.a...

🚨 Three PDRA posts @imperialchemistry.bsky.social with me + collaborators to transform materials discovery.

Focus:
💻 Comp Chem
🤖 AI in Chem
🧠 Neurosymbolic Learning

🗓️ Apply by 11 Nov 2025
🔗 jobs.ac.uk/job/DPB378 (click "Apply" to find individual post details)

#chemsky #compchem #chempostdoc

Stereochemistry-aware string-based molecular generation Abstract. This study investigates the impact of incorporating stereochemical information, a crucial aspect of computational drug discovery and materials de

New paper out in PNAS Nexus!

Molecules aren’t flat — so why should our models be?🧬

Our latest work "Stereochemistry-aware string-based molecular generation,” explores how considering stereochemistry changes the way machine learning models design molecules.
Link: doi.org/10.1093/pnas...
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Last call - open til Oct 30!

Are you excited about #MachineLearning and developing new architectures for Molecular Biology? Joint us for the next chapter of BioEmu at @msftresearch.bsky.social AI for Science - Berlin DE or Cambridge UK.

aka.ms/bioemu-ml