Shu Wan

Research Interests: 

Causal inference, data-driven decision-making, and machine learning

Education:

M.S., Statistics (May. 2016) 

• The George Washington University, Washington, D.C., USA

B.S., Mathematics (June. 2014)

• Fudan University, Shanghai, China

• Minor in Economics 

Professional Experience:

• Graduate Research Associate, School of Manufacturing Systems and Networks, ASU, USA, Aug. 2022-Present
• Senior Algorithm Engineer, DiDi Global Inc., Beijing, China, Sep. 2020 – Aug. 2022 
• Algorithm Engineer II, DiDi Global Inc., Beijing, China, Oct. 2017 – Aug. 2020
• Data Science Fellow, BlueLabs Analytics Inc. Washington, D.C, USA, 09.2016 – 03.2017 
• Teaching Assistant, Department of Statistics The George Washington University Washington, D.C., USA, Sep.2015- May.2016 

Honors & Awards:

• 1st place, American Causal Inference Conference 2022, Data Challenge, June. 2022
• Technical Influencer of the Year, Marketplace technology group, DiDi ride-hailing, Dec. 2021
• Annual Scholarship, School of Mathematical Sciences, Fudan University, 2014 

Service & Skills:

Service: 

• Reviewer: ICML, NeurIPS 
• Founder & Chair: DiDi Causal Inference Reading Group, DiDi Dec. 2020 – Aug. 2022 

 Skills:

• Programming: R (6 years), Python (6 years), Scala (2 years), SAS (SAS Base Certificate) 
• Software: Spark, Hadoop, Hive, SQL, git, shell
• Language: Chinese: Native; English: Business fluency