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@jasveeruser
AI/ML Research Specialist with a PhD in Computational Chemistry.
I am Dr. Amy Susan Bailey, a distinguished computational chemist and AI research specialist. With a PhD in Chemistry from Stanford University, I have extensive research experience in both academic and industrial settings. My expertise lies in developing novel algorithms for drug discovery and materials science, and I have a proven track record of publishing high-impact research.
Throughout my career, I have led complex computational projects and collaborated with interdisciplinary teams to advance the intersection of chemistry and artificial intelligence. I am passionate about creating high-quality training data for AI systems and developing challenging problem sets in computational chemistry.
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Work history, roles, and key accomplishments
Harvard University
Jul 2023 - Present (2 years 4 months)
Conducted advanced research in quantum chemistry and machine learning applications, developing novel algorithms for predicting chemical reaction mechanisms. Collaborated with experimental groups to validate theoretical predictions and supervised graduate and undergraduate researchers.
Genentech (Roche Group)
Jan 2023 - Present (2 years 10 months)
Led computational chemistry initiatives for AI-driven drug discovery, managing a $2M+ annual research budget. Developed machine learning models for molecular property prediction, achieving 92% accuracy in ADMET prediction, and created comprehensive chemical datasets with 1M+ molecular structures for training large language models.
IBM Research
Jun 2021 - Present (4 years 5 months)
Developed quantum computing algorithms for molecular simulation, implementing variational quantum eigensolver (VQE) methods for small molecules. Collaborated with the quantum computing team to optimize quantum circuits and published papers on quantum algorithms for chemistry applications.
Stanford University
Jan 2018 - Present (7 years 10 months)
Taught Physical Chemistry (CHEM 173) to over 120 undergraduate students per semester, developing innovative problem sets focusing on computational approaches. Created online learning modules for quantum chemistry concepts and mentored struggling students through individual tutoring sessions.
Stanford University
Jan 2018 - Present (7 years 10 months)
Conducted dissertation research on machine learning applications in catalysis, developing computational models for predicting catalyst performance with 95% accuracy. Created training datasets of 500,000+ quantum chemical calculations and designed challenging problem sets for benchmarking AI systems in chemistry.
University of Virginia
Jan 2013 - Present (12 years 10 months)
Conducted over three years of independent research in materials chemistry, synthesizing novel metal-organic frameworks (MOFs) for gas storage applications. Characterized materials using X-ray diffraction, NMR, and gas adsorption techniques, and co-authored three peer-reviewed publications.
Degrees, certifications, and relevant coursework
Doctor of Philosophy (PhD), Chemistry
Activities and societies: Graduate Student Council (Chemistry Department Representative), Stanford AI for Science Initiative (Co-founder), American Chemical Society Graduate Student Symposium (Organizer), Women in STEM Mentorship Program (Mentor)
Developed novel machine learning models for predicting chemical reaction outcomes with 94% accuracy. Created comprehensive datasets of 50,000+ quantum chemical calculations for AI training. Published 15 peer-reviewed papers in top-tier journals (Nature Chemistry, JACS, PNAS).
Master of Science (MS), Chemistry
Grade: MIT Chemistry Department Excellence Award (2018), Graduate Research Fellowship (2016-2018), Outstanding Teaching Assistant Award (2017)
Activities and societies: MIT Chemistry Graduate Society (Vice President), Teaching Assistant for Physical Chemistry (5.61), MIT Energy Initiative (Research Associate)
Developed computational models for solar energy conversion materials. Collaborated with experimental groups to validate theoretical predictions. Published 6 first-author papers in Journal of Physical Chemistry.
Bachelor of Science (BS), Chemistry and Mathematics
Grade: Phi Beta Kappa Honor Society (2015), Goldwater Scholarship Recipient (2014), Dean's List (2012-2016), Outstanding Chemistry Student Award (2016), Mathematics Department Honors (2016), Virginia Merit Scholarship (2012-2016), Phi Lambda Upsilon Chemistry Honor Society (2015), Sigma Pi Sigma Physics Honor Society (2015)
Activities and societies: American Chemical Society Student Chapter (President, 2014-2016), Undergraduate Research Program (2013-2016), Chemistry Tutoring Program (Head Tutor, 2015-2016), Phi Lambda Upsilon Chemistry Honor Society (Secretary), Virginia Mathematics Competition Team (Member), Society of Physics Students (Member)
Conducted 3+ years of independent research in materials chemistry. Synthesized novel metal-organic frameworks (MOFs) for gas storage applications. Co-authored 3 peer-reviewed publications.
High School Diploma
Grade: Valedictorian, National Merit Scholar (2012), Intel Science Talent Search Semifinalist (2012), USA Chemistry Olympiad National Qualifier (2011, 2012), USAMO Qualifier (2011, 2012), AP Scholar with National Distinction (2012), Presidential Scholar Nominee (2012), Thomas Jefferson Distinguished Graduate Award (2012), Virginia Governor's STEM Scholar (2012)
Activities and societies: Science Olympiad Team (Captain, 2010-2012), Chemistry Club (President, 2011-2012), Math Honor Society (Vice President), National Honor Society (Member), Academic Quiz Bowl Team (Co-Captain), Science Research Program (Participant), Peer Tutoring Program (Chemistry/Math Tutor)
Led the Science Olympiad team to 3 consecutive state championships. Organized lab demonstrations and competitions as President of the Chemistry Club. Maintained a 4.0 GPA with extensive community service as a National Honor Society member.
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