I am a sustainability specialist with passion in helping companies and organizations achieve their sustainability goals. I am professionally trained in environmental metrics like Carbon Accounting and Life Cycle Assessment, and utilize data analysis and scientific modeling in my work. I have experience with corporate sustainability initiatives such as SBTi, B-corp certificate, TCFD, CDP, etc. I am a strong communicator, a great team worker, and can effectively deliver complex information in an approachable way. During my free time, I like to spend time with my partner, our three cats and two frogs. I also enjoy music, movie, and video games.
MSc in Environmental Science and Management, 2018-2020
University of California, Santa Barbara
MSc in Materials Science and Engineering, 2016-2018
University of Pennsylvania
BSc in Physics for Materials, 2012-2016
Nankai University
BA in Chinese Language and Literature, 2012-2016
Nankai University
Scope 1, 2, and 3
Process-Based, EEIO
SBTi, CDP, TCFD, TNFD, AFi, etc.
Econometrics, Time Series and Geographic Analyses, Principal Component Analysis
R, Python, Java, SimaPro, Gabi, Tableau, MS Excel
Energy, Fashion & Apparel, Bio-Technology, Agriculture
As the biggest state in the US, Texas generates significant amounts of electricity every year. As a state traditionally depending on fossil fuel, the generation mix has been changing in recent years.
This project will explore the electricity generation plants in the United States and their air pollutants and greenhouse gas (GHG) emissions. There are three parts in this porject.
This is a course project where we used LCA to analyze the environmental impact of produce packaging. Although plastic packaging has gained negative reputation due to its various environmental impacts, it also provides valuable function of extending produce shelflife, which could reduce food waste.
This project is a group project which leads to the acquisition of the degree of Master of Environmental Science and Management for the Bren School of Environmental Science & Management, University of California, Santa Barbara.
This project will explore the potential correlations of mineral nutrients contents in meat products, using the food nutrient information dataset from United States Department of Agriculture (USDA) (USDA, 2019). This includes beef products, finfish and shellfish products, Pork Products, Lamb, Veal, and Game Products and poultry products.
This is a course project where we developed a spatial model to analyse which counties in California are more suitable for solar farm constuction. Three key aspects considered in this model are (1) solar energy input, (2) land suitability, and (3) land value.
Coal power plants are notorious for their \(NO_x\), \(SO_2\), and particulate matter emissions, which could all cause respiratory conditions. This project will map the large scale coal power plants (annual generation > 1000GWh) in the US, and the prevalance of three major respiratory conditions–chronic obstructive pulmonary disease (COPD), asthma, and lung and bronchus cancer– in all US states.