2023 International Mammalian Synthetic Biology Workshop (mSBW) June 22-23, 2023 Holiday Inn San Jose-Silicon Valley, San Jose, California, USA
2023 International Mammalian Synthetic Biology Workshop (mSBW) June 22-23, 2023 Holiday Inn San Jose-Silicon Valley, San Jose, California, USA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Klavs Jensen Citation name Jensen, K. Affiliation Massachusetts Institute of Technology State MA Country USA Sessions chaired or co-chairedIn Honor of the 2021 CRE Practice Award Winner (Invited Talks)2022 Annual Meeting (ISBN: 978-0-8169-1118-9)Authored(340bs) Enzymatic Synthesis of Chemical Compounds..Karthik SankaranarayananChaitan Khosla*Klavs Jensen2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(380e) Optimization of Continuous Organic Synthesis By Integrating Automation, Machine Learning, and Robotics.Klavs Jensen2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(432h) Demonstration of Closed-Loop Machine-Learning-Guided Experimental Platform for the Discovery of Novel Dye-like CompoundsRichard CantyBrent KoscherSeung Kyun HaKlavs JensenMatthew McDonald2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(88d) Design of an Automatic Platform for Machine-Learning Model Based Molecular Property OptimizationMatthew McDonaldBrent KoscherRichard CantySeung Kyun HaKevin P. GreenmanCharles J. McGillRafael Gomez-BombarelliWilliam GreenKlavs JensenCamille Bilodeau2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(565b) Molecular Discovery with Limited Human Input Using a Machine Learning Guided Automated PlatformMatthew McDonaldBrent KoscherRichard CantySeung Kyun HaCamille BilodeauKlavs Jensen2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(218c) Cript: A Scalable Polymer Material Data StructureDylan WalshBradley OlsenKlavs Jensen2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(152d) Data-Driven Chemical Property Models for Energetic Materials Using Transfer LearningJoshua LansfordBrian C. BarnesBetsy RiceKlavs Jensen2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(687e) Chemprop: Machine Learning for Molecular Property PredictionCharles McGillEsther HeidYunsie ChungKevin GreenmanDavid GraffMengjie LiuCamille BilodeauRafael Gomez-BombarelliConnor ColeyKlavs JensenTommi S. JaakkolaRegina BarzilayWilliam Green2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(711B) Machine Learning for Predicting the Viscosity of Binary Liquid MixturesCamille BilodeauAndrei KazakovSukrit MukhopadhyayJillian EmersonTom KalantarChris MuznyRegina BarzilayKlavs Jensen2022 Annual Meeting (ISBN: 978-0-8169-1118-9) Associated proceedings 2021 Annual Meeting 2022 Annual Meeting
