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Julian Chan is a Principal in the Finance Practice. He is an expert in econometrics, statistics, artificial intelligence (AI), and machine learning. He has significant experience conducting quantitative and qualitative analyses in support of expert economic testimony, including econometric modeling, Monte Carlo simulation, damages estimation, statistical sampling, and processing big data. Dr. Chan is an experienced researcher with interests in applying econometric, sampling, big data, AI, and machine learning methods to analyze economic phenomena, including questions related to social networks, social media, the real estate market, and cryptocurrencies.

As the firm’s Lead Data Scientist, Dr. Chan co-founded the Data Science Committee. He provides strategic direction and implementation strategies for the firm regarding data science technology such as cloud computing, big data, and AI technology. Prior to joining Bates White, Dr. Chan was a Lecturer in Questrom School of Business at Boston University.


PhD, Economics, Boston University

MA, Economics, University of Hong Kong

BSS, Economics, Chinese University of Hong Kong


Dr. Chan talks about data science and big data and why it helps to approach data-heavy matters with a different mindset.

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