Co-Founder @ ReactWise (YC S24) PhD from University of Cambridge
Joined April 2018
- Tweets36
- Following118
- Followers81
- Likes87
Daniel Wigh retweeted
Congrats to the team @ReactWise on the $3.4M round!
ReactWise's copilot for chemical process optimization enables AI-driven robotic laboratories and speeds up pharmaceutical manufacturing R&D.
techcrunch.com/2025/03/17/yc…
Daniel Wigh retweeted
🚀Excited to announce: Open-source AlphaFold3 implementation! 🚀
I am thrilled to announce one of the models we have been building for the last 8-weeks at Ligo - an open-source implementation of DeepMind’s frontier model, AlphaFold3! Here’s what we have learned, a thread (1/11):
Daniel Wigh retweeted
We are excited to share a video with insights into our ambitions at ReactWise to drive efficiency and innovation in pharma & biotech. Reach out to us via [email protected]
youtube.com/watch?v=THda6XYI…
Video credit: Nathan Pitt ©University of Cambridge
Daniel Wigh retweeted
Our new paper creates a workflow for predicting protodeboronation rates from a SMILES string! Amazing work from @DanielSWigh! #chemtwitter
pubs.acs.org/doi/10.1021/acs…
Daniel Wigh retweeted
Congrats to the Best use of MATLAB Winner for doing some impressive data crunching this weekend! #HackCambridgeAtlas
Daniel Wigh retweeted
Excited to announce my new AI-Chem start-up is out of stealth: mol.dog
Can't wait to work closely with the outstanding scientific and business team! Together, we're going to revolutionize molecular discovery.
Daniel Wigh retweeted
My group is pleased to announce a new project: Emoji Chemistry😀⚗️🎉. We're working on a new periodic table of elements where tired letters 😴 are replaced with ✨emojis✨Here's an early screenshot of the future of chemistry 😎
Daniel Wigh retweeted
We just preprinted work on multi-task bayesian optimization applied to reactions!
TL;DR: Using Summit, we can leverage data from previous campaigns to speed up new optimizations!
chemrxiv.org/articles/prepri…
@SynTech_CDT @cebcambridge
#RealTimeChem
#chemtwitter #machinelearning
Daniel Wigh retweeted
Tired of running hundreds of reactions to find optimal conditions?
Check out our preprint on benchmarking machine learning for reaction optimisation:
chemrxiv.org/articles/prepri…
tl;dr Bayesian optimisation works well for these purposes.
#chemtwitter #realtimechem #MachineLearning
Daniel Wigh retweeted
We have just opened two fully funded PhD positions on AI/Machine Learning for chemical applications. Closing August 20. Please share and apply! jobs.cam.ac.uk/job/?unit=u00…
#RealTimeChem #MachineLearning
@SynTech_CDT @cebcambridge
Daniel Wigh retweeted
Just took part in an online #MachineLearning conference by @RichBourne1981 and @LapkinLab. The best, most productive conference I've ever been to. Talks are recorded and watched beforehand, then we gather to discuss and ask questions. i'll never go to an in-person conf. again
Daniel Wigh retweeted
.@sorenpind til forskerne: ’Vi har brug for, at I stiller jer til rådighed og bringer
perspektiv og baggrund ind i debatterne. At I viser os, at forskningsbaseret
viden og evidens har en større værdi end blot personlige ”synsninger”. bit.ly/2HBjFUE #dkforsk @forskdk
Daniel Wigh retweeted
Forskning skal ud til alle. Hør @sorenpind og Rane Willerslev tale om, hvorfor det er vigtigt. I morgen gives Forskningskommunikationsprisen 2018 til en forsker, der formidler med stor entusiasme #tilgavnfordig #dkforsk @forskdk
Daniel Wigh retweeted
Spildtid på vej til og fra arbejde kan koste samfundet dyrt, viser nye beregninger fra Dansk Infrastruktur.
Derfor lavede vi et kapløb fra en villavej i Vangede til København K – i bil, på skinner og med jernhest ➡️ bit.ly/2ETuOuJ