CV
An overview of my education, experience and interests.
General Information
Full Name | Leo W. Gordon |
Languages | English, German |
Education
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2018 - 2023 Doctorate in Chemical Engineering
The City College of New York, New York, USA - Mentor: Prof. Robert J. Messinger
- Advanced solid and liquid-state NMR methodologies to determine molecular-level mechanisms
- Electrochemical techniques for battery characterisation
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2012 - 2017 Master's Degree in Chemistry
The University of Edinburgh, Edinburgh, Scotland - Developed multimicroelectrode arrays as electrochemical sensors
Experience
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2023 - present Postdoctoral Scholar in Materials
University of California Santa Barbara, Santa Barbara, USA - Pulsed-field gradient NMR techniques to study transport processes in electrolytes and polymers
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2020 - 2022 Teaching Assistant - Chemical Engineering Thermodynamics
The City College of New York, New York, USA - Prepared lectures and recitations to consolidate knowledge
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2020 - 2021 Treasurer of the Graduate Student Council
The City College of New York, New York, USA -
2021 - 2023 Treasurer and Founding Member of the CCNY's ECS Chapter
The City College of New York, New York, USA
Honors and Awards
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2024 - Heeger Fellowship
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2022 - Electrochemical Society (ECS) Travel Award
- Global NMR Twitter Conference Poster Award
- Rocky Mountain Conference (RMC) on Magnetic Resonance Travel Award
- Experimental Nuclear Magnetic Resonance Conference (ENC) Travel Award
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2021 - Grove School of Engineering Fellowship
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2018 - 2019 - Acrivos Fellowship
Academic Interests
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Nuclear Magnetic Resonance Method Development
- I have a keen interest in using and improving state-of-the-art NMR methodologies for characterisation of new and challenging materials
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Molecular-Level Mechanisms in Batteries
- I strive to understand atomic-scale interactions in energy materials through advanced NMR and electrochemical characterisation
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Transport Processes in Polymers and Liquids
- Magnetic resonance affords many approaches to study mass transport in liquids and polymers, as well as across interfaces with both time and spatial resolution