Professional Experiences
Internship
Data Scientist Intern
Facebook, Inc
June 2020 – Sept 2020
- Achieved better tradeoff between revenue and engagement by designing specific ads treatment for identified users;
- Defined metrics to better understand FB ads quality and related ads quality with users’ app experiences by SQL;
- Collaborated with engineers to create data pipelines in Python, design A/B test, and improve recommendation system .
Data Research Intern | Research Experiences for Undergraduare (REU)
The City of Los Angeles Mayor’s Office of Gang Reduction and Youth Development(GRYD)
June 2019 – Aug 2019
- Evaluated GRYD programs and guided its improvement with survey data from over 30,000 youths and 104 questions;
- Predicted and discovered features that influenced youth's future risk to join a gang, using Python;
- Optimized programs to be more targeted to a child’s specific demographic based on mathematical dynamic systems.
Data Journalist
UCLA Daily Bruin, The Stack
Sept 2019 – Present
- Applied quantitative insights to campus life and improved students experiences at UCLA;
- Analyzed campus-wise database and produced data-driven articles at Daily Bruin, UCLA’s primary student news publication;
- Created story-telling visualizations, and designed interactive websites using HTML/CSS and JavaScript
Research Experiences
Research Assistant | COVID-19 Literature Clustering
Math Department, UCLA
March 2020 – Present
- Discovered latent COVID-19 topics by applying modified clustering algorithms on collection of scholarly articles;
- Created a hierarchical framework of topic-based search for COVID-19 related scientific papers, using Python;
- Implemented an interactive website to present and visualize the hierarchical search framework in JavaScript.
Research Assistant | R Machine Learning
Psychology Department, UCLA
Sept 2018 – Present
- Invited by American Statistical Association for presentation at 2019 Symposium on Data Science and Statistics and is preparing for the manuscript publication;
- Compared performance of linear, lasso, and group lasso regression under conditions involving categorical predictors, and differentiated the cases where each algorithm is preferred;
- Implemented machine learning algorithms in R to predict outcomes, and simulated data using Monte Carlo techniques.
Research Assistant | Quantitative Research Collaboratory(QRClab)
Psychology Department, UCLA
Sept 2018 – June 2019
- Guided preparation of registered reports for successful publication;
- Researched 100+ journals’ policies of registered reports with a group of 4 students;
- Transformed raw text data and developed predictive analytics policies for journals using SQL, R.
Side Projects
Memory Map
Co-Creator and Co-Designer
Sept 2014 – June 2017
- Led a group of 5 students to develop mobile application to better locate Alzheimer’s Treatment facilities;
- Designed user-friendly maps that pinpointed 200+ Alzheimer’s treatment facilities in Shanghai;
- Used by 100+ Alzheimer’s patients and raised Alzheimer’s awareness.