Zhong Hao | ESCP Business School

Hao Zhong

Associate Professor of Business Analytics

Department : Information & Operations Management
Campus : Paris

Dr. Hao (Howard) Zhong is an Associate Professor with tenure in the Information and Op-erations Management (IOM) department and the scientific co-director of the Master's pro-gramme in Big Data and Business Analytics at ESCP Business School (Paris). His research interests include data mining, business analytics, computational design science, entrepreneurial finance, and venture analytics. His work has appeared in multiple top venues in data mining and information systems, including Decision Support Systems (DSS), Infor-mation & Management (I&M), Annals of Operations Research (AOR), IEEE Transactions on Knowledge and Data Engineering (TKDE), and IEEE Transactions on Mobile Computing (TMC). He has also presented his research at leading academic conferences, such as ICIS, CIST, HICSS, WITS, KDD, ICDM, and SDM. He has served as a Senior Program Committee member at AAAI and as a Program Committee member at IJCAI, WWW, CIKM, KSEM, etc. He is a fellow of the Centre for Design Science in Entrepreneurship (DS:E). He has also served as co-chair of the AI cluster at the INFORMS Annual Meeting since 2021. He has received the Best Paper Runner-up award at WITS 2022 and was awarded the ESCP Young Teaching Award in 2024. Before joining ESCP, he enjoyed a three-year entrepreneurial experience as a co-founder and Chief Data Scientist of a FinTech startup in China, which leverages the power of Big Data and AI to provide risk management products and services for top financial clients. The startup has been acquired by Duxiaoman Financial, Baidu Inc. He received his PhD in Management (Information Technology) from the Business School of Rutgers University. He was a visiting professor at the AI Thrust of HKUST (Guangzhou) in 2023.

PUBLICATIONS

Career Path Clustering via Sequential Job Embedding and Mixture Markov Models

Pacific Asia Conference on Information Systems (PACIS)

Research and expertise

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Academic Articles

2025

Uncovering IT Career Path Patterns with Job Embedding-based Sequence Clustering

Academic Articles

2024

Firm profiling and competition assessment: A design science approach

Academic Articles

2024

Decision aggregation with reliability propagation

Conference Proceedings

2024

AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy

Conference Proceedings

2024

Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks

ESCP Impact Papers

2024

Beyond automation: Crafting a future where AI augments, not replaces

Other Intellectual Contributions

2024

Pour une intelligence artificielle générative qui augmente plus qu'elle ne remplace

Conference Proceedings

2023

Firm Proﬁling and Competition Assessment: A Heterogeneous Occupation Network–based Approach

Conference Proceedings

2023

Decision Aggregation with Reliability Propagation

Conference Proceedings

2023

Career Path Clustering via Sequential Job Embedding and Mixture Markov Models

Research and expertise