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 B.S. in Sociology from Peking University and delved in Computer Science & Mathematics at the same time.
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 Physical Climatology and Debugging.
Me and teamates constructed social bot’s core natural language understanding section using NLTK, spacy, word2vec with Google and Microsoft API
I participated in NCAA & Kaggle challenge, in which I built up ive prediction models minute by minute, utilizing Linear and Poisson Regression models
I joined 2020 Tree Hack @ Stanford and won the "Most Creative Hack" with 3 talented teamates, together we created an indulging virtual reality drumming game
I build up my own NLP system from scrach based on Logistic Regression to detect possitive & negative emotion for movie reviews.
I established the first Peking University Student Social Network Model with over 2.8 million log data from campus canteens.
I optimized an original Knowlege Component Model for calculating area of a given graph by spliting the single KC in to "trapezoid" and "non-trapezoid".
I built up an online Intelligent Tutor to assist CMU professor with his course under the topic of Physical Climatology.
I designed and implemented an online course section: "Debugging for Dummies" to teach debugging skills for beginners.
I designed a 10-hour course for 5th graders in urban China to teach them chorus singing in their music class.