deepset
Sebastian L. is currently a Senior Applied NLP Engineer at deepset, a position they have held since 2022. Prior to this, they were an AI Research Scientist at LF1 from 2021. From 2015 to 2019, they were a PhD Graduate Student at Caltech, where they derived a Lagrangian framework for projection-based embedding and molecular orbital based machine learning models, and used physically inspired feature engineering to accelerate computational chemistry within the molecular orbital based machine learning framework. This resulted in 7 publications, 3 invited talks and 10+ poster presentations. Sebastian is also an attributed author of three quantum chemistry code bases: QCArchive (Python), QCore (C++), and Molpro (Fortran). From 2019 to 2021, they were involved in projects for QCArchive at The Molecular Sciences Software Institute, and QCore at Entos, Inc. Sebastian also worked on the Molpro Quantum Chemistry Software project from 2015.
Sebastian L. earned a Bachelor of Science in Chemistry/Biochemistry from UC Santa Barbara in 2015, after studying there from 2011-2015. Sebastian then went on to earn a Doctor of Philosophy (Ph.D.) in Theoretical Chemistry from Caltech in 2020.
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deepset
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Deepset is building the next enterprise search engine fueled by NLP and open-source. Building on top of latest NLP research they leverage question answering & transfer learning to provide granular, semantic search results tailored to your domain.