Columbia University, M.S.
Focus: Biostatistics (Theory and Methods Track)
Core Courses: Data Science I, Biostatistical Methods I&II, Statistical Inference, Design of Medical Experiments, New Drug Development, Analysis of Longitudinal Data, Data Mining, Pharmacoepidemiology
Fudan University, B.S.
Focus: Pharmaceutical Sciences
Core Courses: Pharmaceutical Analysis, Pharmacy Administration, Biotech Drug Delivery System, Pharmaceutical Biotechnology,Pharmacokinetics, Integrated Experiments of Drug Design
Awards: Academic Scholarship for continuous three years
Data preprocessing and visulization using R (team training), Lecturer
▪ Self created R learning materials and gave 5 sharing lectures to the team members
- Quick intro - bar and line plots
- Data preprocession
- Heatmap
- Survival Curves
- Multi-Panel plot
Hospital for Special Surgery, Data Research Intern
▪ Communicated with lead surgeons and cooperatively identified promising variables with impact on hospital-acquired infection (HAI) rate both in operative procedure and post-operative care of spinal surgeries
▪ Quantified team consistency score for each spinal surgery based on survey data collected from surgeons, anesthetists as well as assistants and transferred into a continuous variable in building HAI prediction models
▪ Implemented regression modeling on 20+ variables and performed nested cross-validation in support of model selection
▪ Highly appraised for proposing and successfully performing ROC analysis to further determine the appropriate cut-off values for team consistency score
▪ Generated visualizations including correlograms, tables as well as graphs and reported results to data manager periodically
Boehringer-Ingelheim CO., Quality Assurance Intern
▪ Monitored medicines quality through gathering and analyzing related quality reports to detect potential quality issues
▪ Implemented corrective or preventive actions(CAPA) to assure medicine safe supply in a timely and effective way
▪ Connected with downstream suppliers and reviewed qualification documents to ensure their adherence to GMP standard
▪ Worked as the head intern to lead intern training session and inspire team spirit
Jiaofu Biomed, Data Research Intern
▪ Examined rationality of experimental designs and extracted valid research data from over 100 glioma studies
▪ Created data records for small-molecule chemo drugs without error to capture their properties and efficacy in glioma cells
▪ Processed data into desirable format and performed exploratory analysis to handle missing values and outliers
▪ Utilized statistical test in SPSS to validate efficacy and safety properties of target molecules in preclinical studies
▪ Improved reports summarizing methods and results for client delivery and was honored with an Innovation Award
Racial Survival Disparities in patients diagnosed with colorectal cancer, Mediation Analysis Project
▪ Cooperatively develop a project to investigate determinants of racial survival disparities in patients diagnosed with colorectal cancer
▪ Effectively researched on survey data as well as medical records and extracted 1500+ eligible records for further analysis
▪ Employed both parametric methods (Accelerated Failure Time) and Semi-parametric methods (Proportional Hazards Model) to separately quantify the mediation effect of diagnosis stage and surgery waiting time on racial survival disparities
▪ Professionally developed the framework to conduct mediation analysis for censored data in the clinical practice
Smoking in the Framingham Heart Study, Longitudinal Analysis Project
▪ Described the smoking habits(smoking status and number of cigarettes per day) of the participants in the Framingham Heart study as they age
▪ Determined the impact of smoking on certain health outcomes,including systolic blood pressure, diastolic blood pressure and serum total cholesterol.
Machine Learning Techniques in Transaction Data, Data Mining Project
▪ Identified key determinants closely related to consumer purchase capability and predicted their total expenditure
▪ Clustered consumers based on their shopping records so as to estimate their purchase pattern and help providers tailor advertizing in a way attractive to the target groups of consumers.
▪ Strong programming and analytical skills
▪ Professional experience with clinical research and statistical analysis
▪ Working knowledge of clinical trial design and drug development process
▪ Proficiency in R(dashboard, shiny), SAS (macro, proc sql), SQL(query, subquery) and MS Office (Word, Excel, PowerPoint, Access)
▪ Familiarity with Python, SPSS and Mplus
▪ Profound interest in improving patient outcomes and driving innovation in healthcare system