Yiming Wang

Strong knowledge base in math and statistics and strong learning capability in science subjects. Rich experience of teamwork in epidemic modeling, experimental design and analysis, machine learning, regression analysis, and data analysis utilizing Monte Carlo and bootstrap methods. Experience in teaching and tutoring in statistics, mathematics, and physics. Skill at independent problem solving and conflict resolution. Get along well with people in different environments.

Epidemic Modeling for Forecasting the Spread of COVID-19 in the US

• Proposed a new epidemic model SAIR (Susceptible, Asymptomatic, Infected, and Recovered) using system of differential equations. Analyzed data using Excel and R.

Strategic Insights and Predictive Analytics in League of Legends Diamond RankedGames: A Comprehensive Regression Modeling Approach

• Constructed logistic regression model to predict the winning of players. Utilized Akaike Information Criterion (AIC) for variable selection, Variance Inflation Factor (VIF) for multicollinearity assessment, and Lasso/Ridge penalties for regularization.