Lilian Gong
Data Science - Learning Science
Carnegie Mellon University
School of Computer Science,Human-Computer Interaction Institute
Master of Education Technology and Applied Learning Science (METALS)
Data Science - Learning Science
Carnegie Mellon University
School of Computer Science,Human-Computer Interaction Institute
Master of Education Technology and Applied Learning Science (METALS)
I hold a M.S in Computer Science from Carnegie Mellon University and a B.S in Sociology from Peking University
I leverage to combine Social Science with Data Science, applying Machine/Deep Learning in Educational Field.
I have a strong interest in developing online courses for advanced learners including data science, physical climatology, and debugging.
Social bot’s core natural language understanding section using NLTK, spacy, word2vec with Google and Microsoft API
NCAA & Kaggle challenge with live prediction models minute by minute, utilizing Linear and Poisson Regression models
2020 Tree Hack @ Stanford "Most Creative Hack" winning project, an indulging virtual reality drumming game
Goal-question code metric construction & visualization in support of college student data science education
The first Peking University Student Social Network Model from over 2.8 million campus canteen log data
Knowlege Component Model optimization for student ability of calculating area of a given graph
An online Intelligent Tutor to assist CMU professor with his course under the topic of Physical Climatology.
An online course section: "Debugging for Dummies" to teach debugging skills for beginners.
A 10-hour course for 5th graders in urban China to teach them chorus singing in their music class.
