Welcome to my webpage. 

Specializing in food, health, and nutrition economics, and computational methods, my research can be characterized by a combination of traditional econometrics with big data techniques. This helps me explore economic phenomena from unique perspectives. Particularly, I estimate  demand systems and collective household models utilizing large-scale household and retail scanner data. (Google Scholar).

Employment:

• Assistant Professor,  Auburn University,  2020-present (Assignment: 70% Research, 30% Teaching)

Honors and Awards:

• Outstanding American Journal of Agricultural Economics (AJAE) Article Award, Agricultural & Applied Economics Association, 2021

• Best Publication Award, Health Economics Section,  Agricultural & Applied Economics Association, 2023

• Best Economics Paper in Food Safety and Nutrition, Agricultural & Applied Economics Association, 2022

• Final Champion, and Winner of the First and Second Interim Challenges for Food for Thought Data Challenge: Using NLP and ML to Link Food and Nutrition Databases, 2022 Link

• First Place, Job Market Paper Competition, Southern Agricultural & Applied Economics Association, 2020

Education:

• Ph.D.,  Agricultural and Applied Economics, University of Georgia, 2020

• MSc,    Financial Statistics, London School of Economics (LSE),  2014

• BS,        Finance, Renmin University of China, 2013

                      University of Manchester (Exchange), 2011-2012