Stanley Lo
@stanlo229
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Chemistry PhD Student - University of Toronto (Aspuru-Guzik Group & Team Tran) | ex-ML Intern @KebotixInc | Views my own
Toronto, Ontario
Joined November 2020
RT @felix_s_k: The "AI + Robotics" field has exploded in recent years. To stay on top of what's happening, we've put together a comprehensi….
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RT @M_Seifrid: It's finally out thanks to @mistergtom and the team's dedication! Check out our behemoth of a review about #SelfDrivingLabs.
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RT @mistergtom: Our review on all things self-driving labs for chem 🧪 and mat sci now at 🏡on @ACSChemRev. Check it out .
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RT @M_Seifrid: Our exploration of machine learning to predict #OPV device performance from molecular structure of the materials *and* proce….
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Can’t wait to take what I’ve learned here and apply it to my future projects 🤩.
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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!.
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RT @SterlingBaird1: What are the compelling messages regarding self-driving labs that would help a mid-career bench chemist to decide on a….
pubs.rsc.org
This review proposes the concept of a “frugal twin,” similar to a digital twin, but for physical experiments. Frugal twins range from simple toy examples to low-cost surrogates of high-cost research...
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It’s finally out, my last piece of undergraduate work! DOI: Really glad to have been a part of this project! Learned so much from @M_Seifrid who has been a great mentor to me. Shoutout to Dylan Choi, the group at @QuyenUCSB, and @A_Aspuru_Guzik !.
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RT @mistergtom: Check out our project on ranking models for Bayes opt of molecular datasets, with @stanlo229 @CorapiSamantha! Done as part….
ac-bo-hackathon.github.io
Applying the use of ranking models for Bayesian optimization discovery of materials based libraries. Ranking models use a form of metric learning that aims to sort inputs rather than directly...
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RT @M_Seifrid: Out now @ChemRxiv! We explored using machine learning to predict #OPV device performance from molecular structure of the mat….
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RT @mistergtom: It's finally out! Our huge review on🤖self-driving labs for chemistry🧪is on @ChemRxiv: A huge effor….
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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!!!.
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We found that by adding modularity, and hardware-centric design it can help lower the costs of these systems.
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Low-cost SDLs can serve as a fast low risk prototyping platform and/or as great tools for education! We can really inspire the next generation with cheap robotics which are used in novel, multidisciplinary fashion!.
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Checkout my latest article on the Review of Low-cost Self-driving Laboratories: The “Frugal Twin” Concept ( It was great working with @SterlingBaird1 where we sparked a lot of fascinating discussion! Big thanks to all of our co-authors as well!
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RT @SupportOurSci: Canada’s federal graduate scholarships and postdoctoral fellowships are not competitive! 😞. For ex, the NSF postdoctoral….
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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.
I'm thrilled to share that the big project from my postdoc is now available on @ChemRxiv!. A delocalized self-driving lab for organic materials discovery, featuring ML experiment planning, robotic synthesis, and automated testing across multiple sites. 🧵
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RT @acceleration_c: #ICYMI – our 2023 research #grants are now live, with a short EOI due July 31. Funding is open to #UofT faculty or #Uof….
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I’m usually not good at celebrating my wins, but I’m really proud of myself for publishing my first first-author paper! If you’re working in #ML4Science or #polymerinformatics, please check it out! . Augmenting Polymer Datasets by Iterative Rearrangement
pubs.acs.org
One of the biggest obstacles to successful polymer property prediction is an effective representation that accurately captures the sequence of repeat units in a polymer. Motivated by the success of...
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RT @SterlingBaird1: I created "awesome-self-driving-labs" 😎 at while working on a paper with @stanlo229, @taylordsp….
github.com
A community-curated list of resources related to self-driving labs which combine hardware automation and artificial intelligence to accelerate scientific discovery. - AccelerationConsortium/awesome...
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