Joseph Gerrior
Peer Tutor at UMass Amherst Chemistry
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJoseph Gerrior is an undergraduate chemistry student and peer tutor at UMass Amherst combining classroom teaching with hands-on research in mass spectrometry, infrared spectroscopy, and computational simulations of transition metal clusters. He supports fellow students across general, organic, and physical chemistry labs while liaising with faculty on course policies, demonstrating strong communication and instructional adaptability. In Ricardo Metz’s lab he contributes to experiments and simulations that bridge conceptual prediction and experimental data, reflecting a keen interest in physical chemistry. Intending to pursue graduate study, he pairs practical lab skills with computational insight and a collaborative, mentorship-oriented approach to scientific inquiry. An uncommon strength is his simultaneous focus on tutoring pedagogy and advanced spectroscopic techniques, which sharpens both his explanatory skills and research rigor.
11 years of coding experience
University of Massachusetts Amherst
Github Skills (33)
similarity-search10
tensorlayer10
super-resolution10
clustering10
llvm9
generative-adversarial-network9
toolchain9
computer-vision9
compiler8
python8
deep-learning8
tensorflow8
machine-learning8
neural-network7
deep-neural-networks6
Programming languages (6)
Github contributions (5)
kevinjoseph1995/variational-autoencoder-Eager-Execution
May 2018 - May 2018
Contributions:30 commits, 30 pushes, 1 branch in 8 days
ravisvi/super-resolution-videos
Dec 2017 - Jun 2020
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
Contributions:14 commits, 1 PR, 11 pushes in 2 years 6 months
resolvedeep-learningvideoscomputer-visiongenerative-adversarial-network
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