Julian Chan is a Principal in the Finance Practice. 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, machine learning, and natural-language processing methods to analyze economic phenomena, including questions related to social networks, social media, and cryptocurrencies.
As the firm’s Lead Data Scientist, Dr. Chan provides strategic direction regarding data handling, security, storage, and tools, helping the firm incorporate data science across practices. He sits on the firm’s Data Science Committee.
PhD, Economics, Boston University
MA, Economics, University of Hong Kong
BSS, Economics, Chinese University of Hong Kong
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