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Longyi Yang longyi.yang@duke.edu | in/longyi-yang | (+1)984-245-5629Education Duke University Expected May 2021Master of Environmental Management, Environmental Economics Track NC, DurhamRenmin University of China June 2019Bachelor of Economics, Resource and Environmental Economics China, BeijingInterdisciplinary Contest of Modeling, Honorable Mention AwardWork Experience Duke University May 2020 - NowResearch Assistant| Nicholas School of Environment Durham, NCAssisting in estimating the impacts of global and US decarbonization such as the reduced Work lost days and reduced chronic bronchitis morbidity under 8 Shared Socio-economic Pathway (SSP) scenarios. Calculating the differences of all impacts between different scenarios from 2040 to 2070 and from 2020 to 2040 using Excel.Calculating the capitalized economic loss of work lost days, chronic bronchitis morbidity among adults, number of asthma symptom days in asthmatic children, bronchitis in children, cardiovascular hospital admissions (all ages), respiratory hospital admissions (all ages).Building an interactive web application to present the visualized results of all the impacts under 8 scenarios in 2030, 2040, 2050, 2060, 2070 and the cumulative impacts from 2030-2070 using R Shiny.Chinese Academy of Sciences March 2018-July 2019Research Assistant| Geology and Recourse Research Center China, BeijingAssisted in the Strategic Priority Research Program of CAS, “Beautiful China” eco-civilization construction research program, aiming to provide evaluation standard for city agglomeration’s sustainable development for future urban design and policy making.Designed the City Green Development Index to evaluate sustainable development of cities in China, referring to Human Development Index and Sustainable Development Goal from UN.Performed data collection and data process for research of city agglomerations in China; economic and technological development zone; China’s sustainable development policies; the economic transition of London, New York, and Tokyo; the industrial structure of Beijing-Tianjin-Hebei Region, etc.Conducted research on the agricultural total factor productivity in China using data envelopment analysis, sorting out the productive areas.Wrote 7 reports about subjects above in English and the report proposal of the project. AstraZeneca Investment (China) Co., Ltd. August 2018-June 2019 Internship| Marketing Department China, ShanghaiAssisted with the arrangement of AZ’s booth in 2018 Annual Congress of Chinese Thoracic Society in China, Suzhou.Assisted with the exhibition of the department’s new product, which is used to examine the lung health condition based on user’s breath.Wrote advertisement pre-release for the marketing department’s new mobile application, which is used to record and evaluate the cardiac health municated with the cooperative corporation about the marketing department’s opinions on the application under development.Projects PJM electricity supply and demand analysis February 2020 Project of Markets for Electric Power course NC, Durham Used Microsoft Excel and PJM data to calculate total installed capacity and total electricity generation from power plants of different fuels (biomass, coal, gas, hydro, nuclear, solar, wind, other).Used Microsoft Excel and PJM data to build electricity supply curve based on plant nameplate capacity, plant annual heat input, plant annual net generation and plant annual CO2 equivalent emissions.Used Microsoft Excel and year 2019 electricity demand data to build electricity demand curve and load duration curve.Performed market clearing based on each plant’s total cost, forecasted electricity demand and price at each hour. Spent 10 hours on the project, independently completed the work. Western North Carolina Wind Farm Site Evaluation November 2019 Final Project of GIS course NC, DurhamUsed ArcGIS pro to perform spatial analysis for 10 potential wind farm sites including: eliminated unfeasible sites that do not meet FAA and Avian restriction, calculated power generation potential for each site based on number of turbines a site can hold, wind power of each sitecost analysis: estimated construction costs based on terrain type and wind farms’ distance to power grids, estimated mitigation costs based on viewshed informationUsed Microsoft Excel to organize data from ArcGIS, calculated total cost for each site and ranked up all sites.Spent 30 hours on the project, independently completed the work. Skills Stata, SPSS, R language, ArcGIS(pro, ArcMap, ArcPad), Python, Microsoft Offices, MaxEnt, Fragstats, PhotoshopGRI Certified Training Program CertificateLanguage: English, Chinese (Mandarin) ................
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