About

Academic Experience

Mailman School of Public Health, Columbia University

New York, NY

Masters of Biostatistics, Expected May 2024
Relevant coursework: Longitudinal Analysis, Data Science I, Probability, Epidemiology

Binghamton University, The State University of New York

Binghamton, NY

Bachelors of Science in Mathematics and Economics, May 2022
Relevant coursework: Regression Models, Statistical Learning, Complex Variables, Real Analysis, Econometrics, Forecasting, Game Theory

University at Buffalo, The State University of New York

Buffalo, NY

Coursework in Pharmacy and Mathematics, Jul 2018 - May 2019

Research Experience

Research Assistant, Columbia University

Mental Health Data Science

Oct 2022 - present

• Perform data tidying, cleaning, and organizing to raw data for analysis.
• Generate visualizations to capture the patterns of independent binary variable.
• Apply advanced statistical methods such as Clustering Analysis for the project.
• Meet with project supervisor on a biweekly basis to ensure project’s success.

Predicting the in hospital Mortality Rate of Patients with Covid-19, Binghamton University

Statistical Learning Research Project

Oct 2021 - Dec 2021

• Applied Log Rank Test to test difference in survival between independent groups.
• Estimated the survival time using Kaplan-Meier Curve and explained the variable importance using Cox’s proportional Hazard ratio.
• Split the dataset into training and test sets, and use the logistic regression model, LDA, Naive Bayes, KNN, Boosting, SVM, and Lasso, to predict the response variable in R.
• Compared the test error rate among the classification models to find the best model with minimum test error.

Analysis of Demand of Bike Sharing System, Binghamton University

Intro to Regression Research Project

Jan 2021 - May 2021

• Improved the stability of the multiple linear regression model by eliminating multicollinearity and unusual observations of the datasets through R.
• Generated the best fit model by assessing model selection methods such as Bayesian Information Criterion, Lasso, and Dimension Reduction.
• Tested whether the smaller model is as good as the full model using ANOVA and applied transformation to the response variable when the normality assumption did not hold.

Teaching Experience

The Department of Economics, Binghamton University

Teaching Assistant of Macroeconomics Theory

Aug 2021 - Dec 2021

• Supported the instructor with test administration, curriculum development, and grading.
• Delivered assessment activities directed towards subjects in weekly discussion sections.
• Mitigated the learning gaps and addressed students’ concerns by answering questions related to the course through emails and office hours.

Professional Experience

Excellus BlueCross BlueShield, Rochester, NY

Actuarial Intern, Stop Loss Department

Jun 2021 - Aug 2021

• Created a Power BI Dashboard using HCC data from 2017-2021. The dashboard provided information on trends for large claim diagnoses and allowed the stop loss team to understand the impact of large claims.
• Visualized the relationship between large claims and expected payment times using scatter plots, frequency distributions, histograms, and quarterly and yearly reports within Power BI.
• Analyzed the High-Cost Claimants data from 2017 - 2021 to spot trends and patterns of cancer groups that can be translated into data visualizations in Power BI for Excellus BlueCross BlueShield.

Relevant Skills

Computing:

• Proficient in R, LaTex, Excel, PowerPoint, and Word.
• Intermediate in Power BI, SAS, Python, and Stata.

Languages:

• English - Fluent in verbal and written.
• Chinese - Native in verbal and written.

Honors and Awards

• Magna Cum Laude, Binghamton University
  
• Actuarial Science Award, Binghamton University
• McNair Scholar, Binghamton University
  
• Dean’s List, Binghamton University
• Pi Mu Epsilon, National Math Honor Society
• Dean’s List, University at Buffalo
• Highest Academic Achievement in Calculus, University at Buffalo