Daniel Wang

Waterloo, Ontario, Canada
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Summary

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Rockstar
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Top School
Daniel Wang is a Materials and Nanoscience student at the University of Waterloo with nine years of hands-on experience in interdisciplinary lab work spanning organic synthesis, electrochemistry, and solar cell fabrication. He has advanced skills in catalyst design and electrochemical sensing—optimizing metal phthalocyanine complexes for CO2 detection and developing PEDOT:PSS–AuNP systems for non-enzymatic glucose monitoring. Daniel has improved perovskite solar cell efficiency from 13% to 18% through transport layer and solvent-ratio optimization and reduced CO2 reduction overpotential by engineering nanoparticle chains. His industry experience as a medicinal chemist includes multi-step synthesis and potency improvements of drug candidates, while his teaching roles demonstrate clear communication of complex STEM concepts. Curious and self-driven, he pairs rigorous experimental technique with a knack for practical optimization and interdisciplinary problem solving.
code9 years of coding experience
bookBachelor of Science - BS, Materials Sciences, 3.95/4.0 (92/100), Bachelor of Science - BS, Materials Sciences, 3.95/4.0 (92/100) at University of Waterloo
languagesChinese, English
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Github Skills (15)

claude10
gpt10
artificial-intelligence10
openai10
agentic-ai10
python10
ai10
autonomous-agents10
llm10
autogpt9
classifiers3
dog3
preference2
protect2
codebase1

Programming languages (3)

JavaJavaScriptPython

Github contributions (5)

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azure1016/MyLeetcodePython

Dec 2018 - Jan 2022

Contributions:25 pushes, 1 branch in 3 years
Contributions:3 pushes, 1 branch in 11 months
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