Scott D. Midgley
Application Scientist, Computational Chemistry at Cresset software and discovery- Claim this Profile
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Bio
Experience
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Cresset
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United Kingdom
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Software Development
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1 - 100 Employee
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Application Scientist, Computational Chemistry
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Apr 2023 - Present
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Postdoctoral Scientist
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Sep 2021 - Present
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University of Reading
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United Kingdom
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Higher Education
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700 & Above Employee
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PhD in Theoretical Materials Science
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Sep 2017 - Oct 2021
Skills and experience - Planning and delivery of field-leading research projects in data-driven chemical science - Quantum mechanical modelling - Diverse research including: organic polymers, natural minerals and semi-conducting alloys - Machine learning: regression, boosted decision trees, neural networks - Python programming: Matplotlib, Pandas, Scikit-Learn, Tensorflow, Keras - Supercomputing, High Performance Computing - Unix system administration - High level technical communication: published research articles, technical communication with international collaborators, oral conference/seminar presentation - Mentorship: supervision of master's degree student research projects and teaching of undergraduate chemistry courses Published research: https://scholar.google.com/citations?user=USDtalcAAAAJ&hl=en Show less
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Queen Mary University of London
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United Kingdom
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Higher Education
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700 & Above Employee
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MSc in Theoretical Chemistry
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Sep 2016 - Sep 2017
- Research on photo-activated molecular systems with applications in OLED and organic laser technology - Research on photo-activated molecular systems with applications in OLED and organic laser technology
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Education
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University of Reading
Doctor of Philosophy - PhD, Theoretical Chemistry -
Queen Mary University of London
Master of Science - MSc, Theoretical Chemistry -
University of Reading
Bachelor of Science - BSc, Chemistry