May 2021, Columbia University, Mailman School of Public Health, NY, US
Master of Science in Biostatistics, theory and method track
Selected Courses: Data Science, Machine Learning, Computer System, Probability, Inference, Biostatistical Methods I&II, Epidemiology
May 2019, The Hong Kong Polytechnic University, Faculty of Applied Science and Textiles, HK
Bachelor of Science in Engineering Physics
Selected Courses: Statistics, Simulation, Time Series Analysis, High Dimensional Data Analysis, Decision Analysis
Aug. - Dec. 2017, North Carolina State University, College of Sciences, North Carolina, NC, US
Student Exchange Program
Selected Courses: Statistics Programming in SAS, Scientific Computing with Python, Statistical Inference & Regression
May - Aug. 2019, AI Product Manager Intern (Medical Treatment & Healthcare Group)
Ping-An Technology (Shen Zhen) Co., Ltd., Guang Dong, CN
Accomplishments:
Studied and searched for latest AI techniques and machine learning models with technical teams
Designed innovative products with AI techniques in assisting prevention, diagnosis, and treatment of diseases
Collected and analyzed data from various sources and used SWOT and PEST methods to explore product availability
Assisted in projects including ‘COPD e-platform for hierarchical diagnosis & treatment’, ‘National health accounts with AI techniques’, ‘Knowledge graph construction for precision medicine’ through data analyses and product design
May - Aug. 2018, Research Intern
Johns Hopkins University, Department of Biostatistics, MD, US
Project: Inverse Odds Ratio-Weighted (IORW) Estimation for Causal Mediation Analysis
Supervisor: Dr. Ni Zhao
Accomplishments:
Conducted theoretical study on the IORW estimation method in mediation analysis on continuous and binomial cases
Applied the approach into mediation models and conducted comprehensive simulations with real data in genomics
Developed more effective modifications to this method using LASSO when dealing with high-dimensional data
Jan. - May 2018, Research Assistant
The Hong Kong Polytechnic University, Department of Applied Mathematics, HK
Project: Mathematical Modeling and Prediction for Pneumonia and Influenza (P&I) Mortality
Supervisor: Dr. Daihai He
Accomplishments:
Collected, processed and analyzed P&I mortality data and environmental indicators in Hong Kong from 1998 to 2016
Applied latest machine learning method called ‘boost regression tree model’ in modeling of P&I mortality
Obtained 95% prediction power in the project which was much better than other current models in P&I mortality studies
Sep. 2018 - May 2019
The Hong Kong Polytechnic University, Department of Applied Physics, HK
Capstone Project: Artificial Neural Network for Molecular Dynamic Simulation
Supervisor: Dr. Onofrio Nicolas
Accomplishments:
Created ‘fingerprints’ as data representations for each molecular in data training to improve efficiency
Built a feed-forward neural network using Python to obtain molecular force given their positions
Optimized the network and made the error rate less than 5% to be comparable with the most precise quantum method
Programming Language: R, Python, SQL, SAS, C++, C, Git, Tableau, Spark, Microsoft Office
Software: Tableau, Microsoft Office
Language: Fluent in English
Jan. 2020 - Dec. 2020, President
Career China Club, Mailman School of Public Health, Columbia University
Sep. 2019 - May 2020, Wellness Ambassador
Office of University Life, Columbia University
May 2016 - May 2017, Vice President
The Chinese Mainland Students’ Association, Hong Kong Polytechnic University
Jun. - Jul. 2016, Volunteer
Voluntary Service in Rural Farms, Sichuan Province, China
Aug. 2018
Reaching Out Award, HKSAR Government Scholarship
May 2018
Undergraduate Research Fund, Hong Kong Polytechnic University