Stanley Lo

93 posts

Stanley Lo

Stanley Lo

@stanlo229

Chemistry PhD Student - University of Toronto (Aspuru-Guzik Group & Team Tran) | ex-ML Intern @KebotixInc | Views my own

Toronto, Ontario Katılım Kasım 2020
302 Takip Edilen171 Takipçiler
Stanley Lo retweetledi
Anthropic
Anthropic@AnthropicAI·
New research: The AI Fluency Index. We tracked 11 behaviors across thousands of Claude.ai conversations—for example, how often people iterate and refine their work with Claude—to measure how well people collaborate with AI. Read more: anthropic.com/research/AI-fl…
English
211
299
2.7K
526.7K
Stanley Lo retweetledi
Martin Seifrid
Martin Seifrid@M_Seifrid·
Our exploration of machine learning to predict #OPV device performance from molecular structure of the materials *and* processing data is now officially published in @JMaterChem A as part of their 2024 Emerging Investigators series! doi.org/10.1039/D4TA01…
English
1
4
31
2K
CambridgeEllisUnit
CambridgeEllisUnit@CambridgeEllis·
We are now accepting applications for the @Cambridge_Uni @ELLISforEurope Summer School on Probabilistic #MachineLearning in @Cambridge_Eng #AI 15-19 July more info here: ellis.eng.cam.ac.uk/summer-school/
Jose Miguel Hernández-Lobato@jmhernandez233

The Cambridge Ellis Unit Summer School on Probabilistic Machine Learning is from 15-19 July 2024 at the Cambridge Department of Computer Science and Technology. Application deadline: 8 May 2024 Admission notification by: 22 May 2024 More information: ellis.eng.cam.ac.uk/summer-school/

English
2
14
28
6.5K
Stanley Lo
Stanley Lo@stanlo229·
Can’t wait to take what I’ve learned here and apply it to my future projects 🤩
English
0
0
2
73
Stanley Lo
Stanley Lo@stanlo229·
It was my first ever experience with Machine Learning for Chemistry and I’ve learned a lot of what it takes to be a proficient coder and scientist!
English
1
0
2
99
Stanley Lo retweetledi
Martin Seifrid
Martin Seifrid@M_Seifrid·
Out now @ChemRxiv! We explored using machine learning to predict #OPV device performance from molecular structure of the materials *and* processing data. Hopefully this somewhat didactic approach is useful to those in the field who are interested in ML. doi.org/10.26434/chemr…
English
3
4
22
3.5K
Sterling G. Baird
Sterling G. Baird@SterlingBaird1·
Who would be interested in participating in a hackathon for Bayesian optimization focused on chemistry and materials science applications?
English
48
8
134
28.8K
Stanley Lo
Stanley Lo@stanlo229·
Excited to see what other people think of our review! Whether it is researchers, citizen scientists, or students, I hope that this article will help propel people forward into developing their own SDLs!!!
English
0
0
1
145
Stanley Lo
Stanley Lo@stanlo229·
We found that by adding modularity, and hardware-centric design it can help lower the costs of these systems.
English
1
0
1
167
Stanley Lo
Stanley Lo@stanlo229·
Checkout my latest article on the Review of Low-cost Self-driving Laboratories: The “Frugal Twin” Concept (doi.org/10.26434/chemr…) It was great working with @SterlingBaird1 where we sparked a lot of fascinating discussion! Big thanks to all of our co-authors as well!
Stanley Lo tweet media
English
2
8
36
10.4K
Stanley Lo retweetledi
Support Our Science
Support Our Science@SupportOurSci·
Canada’s federal graduate scholarships and postdoctoral fellowships are not competitive! 😞 For ex, the NSF postdoctoral fellowship is valued at $106,000 CAD 🇺🇸, compared to the $45,000 🇨🇦 offered by the Tri-Agency fellowships 😱🤕 #scholarships #graduate
Support Our Science tweet media
English
6
136
300
70.7K
Stanley Lo
Stanley Lo@stanlo229·
This is truly bleeding edge research! It has been a pleasure to see the amazing resilience from the MADNESS team. I’m really proud of the team and my mentors @M_Seifrid @felix_s_k 🥳🥳 If anyone wants inspiration for figures, take it from this guy @felix_s_k
Felix Strieth-Kalthoff@felix_s_k

I'm thrilled to share that the big project from my postdoc is now available on @ChemRxiv! doi.org/10.26434/chemr… A delocalized self-driving lab for organic materials discovery, featuring ML experiment planning, robotic synthesis, and automated testing across multiple sites. 🧵

English
0
0
8
330

Keşfet

@M_Seifrid @A_Aspuru_Guzik @ACSChemRev @mistergtom @felix_s_k @Stefan_P_Schmid @JMaterChem @CambridgeEllis