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@coledrake1
Dedicated PhD candidate in Chemistry with AI expertise.
I am a dedicated PhD candidate in Chemistry with a strong focus on analytical chemistry and AI model training. My research has led to the development of protocols for spectral analysis, which improved data accuracy by 15%. I have a solid foundation in NMR, FTIR, and Python, and I have had the privilege of mentoring over 20 students in laboratory techniques, fostering their growth in the field.
My academic journey includes a PhD from the University of California, Berkeley, where I specialize in analytical chemistry, and I have previously earned my MS and BS from UCLA. I have published my findings in a peer-reviewed journal and presented at national conferences, showcasing my commitment to advancing AI applications in chemical analysis. I am passionate about leveraging technology to enhance research methodologies and improve data validation processes.
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Work history, roles, and key accomplishments
UC Berkeley
Aug 2022 - Present (3 years 3 months)
As a PhD candidate, I designed AI training datasets for spectral analysis, improving model accuracy by 15%. Conducted research on NMR and FTIR techniques, streamlining data processing workflows. Collaborated with faculty to validate AI-generated chemical outputs and presented findings at a national meeting.
UCLA
Oct 2019 - Jan 2021 (1 year 3 months)
Instructed over 20 students in analytical and organic chemistry labs, enhancing lab report accuracy by 12%. Developed a 6-week NMR tutorial module adopted by undergraduate courses and led spectroscopy workshops to improve student proficiency.
UCLA
Jul 2017 - Jun 2018 (11 months)
Synthesized organic compounds for environmental sensors with 90% purity. Characterized materials using HPLC and SEM, contributing to a publication. Supported lab safety audits, significantly reducing protocol violations.
Degrees, certifications, and relevant coursework
PhD, Chemistry
2022 -
Specialization in Analytical Chemistry with research focused on enhanced spectral analysis methods for AI-driven chemical data validation.
MS, Chemistry
2019 - 2021
Thesis focused on the optimization of FTIR Spectroscopy for environmental monitoring.
BS, Chemistry
2015 - 2019
Grade: Cum Laude
Graduated Cum Laude and made the Dean's List for three semesters.
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