A brief introduction:
Before pursuing my Ph.D, I worked as a full-time software development engineer. When I was working in Newegg and Wisdom Info, I developed my skills in big data analysis and real factory automated sequence testing. From 2015-2018, I worked as a research assistant and also a software development engineer in SUNY Albany with the support from NSF grants. During my study in UAlbany, I changed my interests from Machine Learning and Data Mining to theoretical computer science with a focus on algorithms for real world problems and optimization while applying Machine Learning models.
My research also involves many programming experiments. I implemented many state-of-art theoretical algorithms into importable libraries. By doing that, I could observe many real world applications and algorithms from a different angle. In the meanwhile, I still involve in some projects using Machine Learning skills.
Key words: Algorithms, Theoretical Computer Science, Machine Learning, Discrete Optimization, C++, Python.
Some projects I've worked on:
addBoolean function evaluation
addRare disease detection using highly imbalanced data
addDevelopment and Research using Idea Threads Mapper
addAnomaly pattern detection for Graph-Structured Data (as Master's Research Project)
addCollege water delivery system (as Bachelor's Research Project)