Boyang Sa, Ph.D.

Data scientist and PhD candidate with strong experiences and skillsets of quantitative and qualitative research design, data analysis, data science and statistics research methodologies, including linear and non-linear regression models, and predictive data modeling with machine learning algorithms. Skilled in Python, R and SQL. Enthusiastic about climate change, urban transportation issues and social equity and justice, Boyang has extensive empirical and normative research experience in these multidisciplinary domains.

Skills

• Statistical and Data Analytical Platforms and Programming in Python, R, SQL
• Statistical and Machine Learning Modeling, including linear, Poisson, logistic, Ridge, Lasso, ANOVA, SVM/SVR, kMeans, decision forest, etc.
• Spatial Analysis, Statistics, and Modeling in R, Python, QGIS, ArcGIS
• Modeling with Domain Knowledge: Urban Transportation / Electric Vehicles and Charging, Construction and Landscape Carbon Emission and Sequestration Modeling, Air Quality Modeling

Current Position

Senior Data Scientist, Center for Sustainable Energy

Education

2016-2022

• Ph.D., University of Washington, Urban Design and Planning
• Dissertation title: Driving Electric with Equity: A Survey of Current Electric Vehicle Infrastructure, Policies and Planning

2013-2015

• Master of Regional Planning, Cornell University, City and Regional Planning
• Thesis title: Evaluation of Job Access and Reverse Commute Program in Seattle Using Geographically Weight Regression

2009-2013

• Bachelor of Art, University of Washington, Geography (Geographic Information System)