Dr Yang JIAO

Professor and Expert in Data Science | Lead Data Scientist at Coface
Dr. Yang JIAO

Biography

Yang Jiao holds a PhD in Artificial Intelligence from Pierre and Marie Curie University. He worked as a data scientist at Cdiscount and then at Vente-privee.com, before joining Coface in 2019 as lead data scientist.

Education & Qualifications

YearUniversityQualification/Position
2013–2018 Sorbonne University, Pierre and Marie Curie Campus PhD in Computer Science, Thesis: Applications of Artificial Intelligence in E-commerce and Finance
2009–2013 Institut Mines-Télécom Engineering Degree in Risk Management

Work experience

YearRole
2020 – Present AI Expert Lecturer – aivancity
2019 – Present Lead Data Scientist, Coface
2018–2019 Senior Data Scientist – Veepee (formerly vente-privee.com)
2016–2018 Data Science Consultant, Freelance (Served more than 30 clients across various sectors)

Publications

  • Yang Jiao et al. (2017) "Predicting stock movement direction with machine learning: An extensive study on S&P 500 stocks," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017.
  • Yang Jiao et al. (2017). The categorisation challenge organised by Cdiscount on datascience.net in 2015: analysis of the released dataset and winning entries. SFdS – Special Issue: Competitions and Challenges in Statistics.
  • Yang Jiao et al. (2016). Reranking strategies based on fine-grained business user events benchmarked on a large e-commerce dataset. In International Conference on Electronic Commerce and Web Technologies, Springer, Cham.
  • Yang Jiao et al. (2015). An entropy-based term weighting scheme and its application in e-commerce search engines. ISWAG (International Symposium on Web Algorithms), 2015.

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