Academic Experience

• Assistant Professor, 2022 ~ Present,

Heinz College of Information Systems and Public Policy, Carnegie Mellon University.

• Research Aide, May 2020 ~ Jan 2021, 

Argonne National Laboratory.

• Research Assistant, 2017 ~ 2022,

H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology.

Education

• Ph.D. in Machine Learning and minor in Computer Science (Advisor: Yao Xie), 2017 ~ 2022.

H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology.

• B.S. & M.S. in Computer Science, 2010 ~ 2017.

Beijing University of Posts and Telecommunications (BUPT).

Awards

• Finalist of 2023 QSR Best Student Paper Competition, Fall 2023.
• Finalist of Data Mining Best Applied Paper, 2023 INFORMS Workshop on Data Mining and Decision Analytics, Fall 2023.
• Winner, 2023 YinzOR Poster Competition, Summer 2023.
• Winner, 2022 INFORMS Data Mining Best Applied Paper, Fall 2022.
• Runner-up, 2022 INFORMS Poster Competition, Fall 2022.
• Best Student Paper Nominee at 2022 INFORMS Workshop on Data Science, Fall 2022. 
• Finalist of 2021 INFORMS Wagner Prize, Fall 2021.
• Excellent Poster Award at Georgia Statistics Day, Fall 2021.
• Finalist of Data Mining Best Applied Paper, 2021 INFORMS Workshop on Data Mining and Decision Analytics, Fall 2021.
• George Leadership Development Fellows, Summer 2021.
• Best Paper Award (Honorable Mention), ICML Time Series Workshop 2021, Summer 2021.
• ML@GT Fellows, Spring 2021.
• Runner-up, Data Mining Best Applied Paper, 2020 INFORMS Workshop on Data Mining and Decision Analytics, Fall 2020.
• Second Place, Doing Good with Good OR Student Paper Competition, INFORMS, Fall 2019.
• Best Student Poster Award (Honorable Mention), Georgia Statistics Day, Fall 2019.
• Best Student Poster Award, Georgia Statistics Day, Fall 2018.
• Best Poster Presentation Award & Travel Award, ASA at 2018 Forecasting from Complexity Workshop, Spring 2018.
• 2018 Smart 50 Award, Smart Cities Connect Conference & Expo, Spring 2018.
• Best Business Prospect Award (First Place), Volkswagen Data Science Hackathon [Press], Summer 2015.
• Second Place, Freescale Cup 2013 Worldwide Championship and China Regional Finals [Press], Summer 2013.

Professional Service

• Council Member (2023-2025) of INFORMS Data Mining Society.
• Associate Editor of Journal of Agricultural, Biological and Environmental Statistics. 
• Session Chair for Community-Committee’s Choice Session "Districting for modern service systems" at 2023 INFORMS. 
• Session Chair for "Interpretable Machine Learning for Social Good" in the 2022 INFORMS Data Mining section.
• Session Chair for "Machine learning for spatio-temporal data modeling and analysis" in the 2021 INFORMS Data Mining section.
• Session Chair for 2020 INFORMS Annual Meeting Data Mining and Decision Analytics. 
• Journal Referee of Journal of the Royal Statistical Society: Series B.
• Journal Referee of Management Science.
• Journal Referee of IEEE Transactions on Intelligent Transportation Systems.
• Journal Referee of IEEE Transactions on Signal Processing.
• Journal Referee of IEEE Transactions on Power Systems.
• Journal Referee of IEEE Journal on Selected Areas in Information Theory.
• Journal Referee of ACM Transactions on Management Information Systems.
• Journal Referee of INFORMS Journal on Data Science.
• Journal Referee of INFORMS Journal on Computing.
• Conference Reviewer for  KDD, AISTATS, ICML, ICLR, NeurIPS, FAccT.