
Connor W. Coley
@cwcoley
Assistant Professor @MITChemE & @MITEECS | ChE, Chem, AI/ML, etc. for accelerating molecular synthesis and discovery | coley.mit.edu | he/him
ID: 1002688565946601472
01-06-2018 23:09:17
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Fantastic #CINF and ACS Organic Division symposium on #MachineLearning for organic chemistry at #ACSSpring2023 Organized by Gabe Gomes Connor W. Coley both NSF Center for Computer Assisted Synthesis members. Great speakers lineup. Please check it out.



Abstracts are due April 4th for the Fall ACS meeting! Consider submitting to our 5th symposium on "Machine Learning and AI for Organic Chemistry" @ callforabstracts.acs.org/acsfall2023/CI… | Any and all talks at the intersection of data science and organic chemistry (incl. #compchem) are welcome


We are happy to share our cohort of C-CAS Summer Undergraduate Research fellows! We are excited to learn with them this summer. Special shout out to Sigman Lab Toste Group Gabe Gomes Connor W. Coley Robert Paton and Abby Doyle for hosting these scholars. #UndergradResearch #NSFFunded



2023 Rising Stars in ChemE application now open! Early-career women interested in ChemE faculty careers encouraged to apply for this fall workshop. Apps due May 15. ow.ly/rxMR50NQE98 MIT School of Engineering American Institute of Chemical Engineers (AIChE) NOBCChE Official SWE


Everyone loses when we discard negative data, but what does it truly mean? Authors NSF Center for Computer Assisted Synthesis AstraZeneca MIT ChemE Dept @NDScience describe four categories of reaction outcome we should all know about. Read all about it in J Org Chem/Org Lett doi.org/10.1021/acs.or…; doi.org/10.1021/acs.jo…




The Open Reaction Database #JACSPerspective Connor W. Coley MIT ChemE Dept MIT EECS Massachusetts Institute of Technology (MIT) MIT Science Relay Therapeutics Total Synthesis and Methodology Highlights #Open #Database #Reaction pubs.acs.org/doi/10.1021/ja…

MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation #compchem #cheminformatics pubs.acs.org/doi/10.1021/ac… Yujie Qian Jiang Guo Zhengkai Tu Connor W. Coley Regina Barzilay Vol63 Issue7 #JCIM #MachineLearning #deeplearning


We put together a collection of great papers by our past and current board members ➡️bit.ly/EJOCBM Work by Mathias Senge 伊藤 肇 (Hajime Ito) Oleksandr Grygorenko 🇺🇦 Besset Tatiana Alexey Sukhorukov D. B. Ramachary Rodríguez-Molina group Stefano Protti @EmmanuelMagnier Farinola Group @LabWaser & more!


Just published: see our new Comment in Nature Computational Science with Wenhao Sun on "The promise and pitfalls of AI for molecular and materials synthesis" -- read for free at rdcu.be/dcrTA



See our new perspective in JCIM on successful data sharing initiatives in chemistry and the implications for organic reaction data and the Open Reaction Database: pubs.acs.org/doi/10.1021/ac… (with Steven Kearnes and Rocío Mercado)
