James Yang
PHD Candidate
Bethesda, Maryland, United States
Summary
👤
Senior🎓
Top SchoolJames Yang is a PhD candidate and researcher in computer and human vision based in Bethesda, Maryland, with eight years of experience bridging vision-language modeling, interpretability, and multimodal AI. His work at the University of Minnesota focuses on building more robust LVLMs and creating benchmarks to diagnose model distractions and hallucinations, informed by several large-scale human attention datasets he helped develop (IQVA, AiR, VisualHow). Trained in both computer science and statistics, he brings quantitative rigor to model diagnostics and has practical experience packaging research into reproducible tools, including an R package published during earlier research. James combines academic depth with hands-on teaching and research-assistant roles, making him equally comfortable explaining algorithms in classrooms and designing experiments that probe human–machine perception. Notably, his project portfolio emphasizes interpretable model learning and real-world evaluation strategies that prioritize reliability over raw performance.
9 years of coding experience
Bachelor of Arts - BA, Double major in Computer Science and Statistics, Bachelor of Arts - BA, Double major in Computer Science and Statistics at Carleton CollegeHigh School Degree, High School Degree at Breck School
English, Chinese, French
Github Skills (20)
foundation-models10
chatbot10
chatgpt9
multimodal9
llama8
calculator7
react5
css5
javascript4
motion-capture4
random-effects2
r2
r-package2
occupancy2
gps1
Programming languages (3)
Github contributions (5)
formidify/BayesSenMC
Dec 2017 - Aug 2021
Contributions:28 pushes, 1 branch in 3 years 9 months
formidify/RealFoodCalculator
Oct 2018 - Mar 2019
Real Food Calculator Comps Project '18
Contributions:11 commits, 1 PR, 762 pushes in 4 months
reactcssjavascriptfoodcalculator
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