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Chemists spend an inordinate amount of time performing low-level tasks based on visual observation.For relatively routine synthetic organic workflow sequences, automation is beneficial. However, the full potential of integrated automated processes has proven challenging due to the dynamic and ever evolving environment of a chemical research lab.
In many cases, adding simple vision algorithms to control and monitor most of the processes in a standard synthetic lab can unlock the potential of automated workflows, and allow them to be rapidly and efficiently deployed to replace time and labor-intensive tasks. Furthermore, computer vision can play an even more impactful role when combined with advanced robotics. Image analysis algorithms can now transform simple digital cameras into powerful analytical tools for laboratory use.
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Jason Hein
CEO/Director, Telescope Innovations
Jason Hein is an Associate Professor of Chemistry at the University of British Columbia, an Adjunct Professor at the University of Bergen, Norway. Prof. Hein was the co-lead of Project ADA; the world's first autonomous discovery platform for thin film materials, supported by Natural Resources Canada, co-PI of the MADNESS team supported by the DARPA Accelerated Molecular Discovery Program and the UBC lead for the Acceleration Consortium CFREF spearheaded by the University of Toronto. Jason has also translated his passion for developing enabling technology by becoming the CEO and founder of Telescope Innovations; a chemical technology start-up creating AI-enabled automation solutions for process chemical development. He received his B.Sc. in Biochemistry in 2000 and Ph.D. in asymmetric reaction methodology in 2005 from the University of Manitoba (NSERC PGS-A/B, Prof. Philip G. Hultin). In 2006, he became an NSERC postdoctoral research fellow with Prof. K. Barry Sharpless and Prof. Valery V. Fokin at the Scripps Research Institute in La Jolla, CA. In 2010, he became a senior research associate with Prof. Donna G. Blackmond at the Scripps Research Institute. He began his independent career at the University of California, Merced in 2011, employing in-situ kinetic reaction analysis to rapidly profile and study complex networks of reactions. In 2015, he moved to the University of British Columbia and was promoted to Associate Professor in 2019. His research has resulted in a collection of prototype modular robotic tools and integrated analytical hardware which create the first broadly applicable automated reaction profiling toolkit geared toward enabling autonomous research and discovery.