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Julian Chan is a Principal in the Finance Practice. He is an expert in econometrics, statistics, sampling, artificial intelligence (AI), machine learning, and big data analytics. Dr. Chan has significant experience conducting quantitative and qualitative analyses in support of expert economic testimony on matters related to cryptocurrency fair lending and fairness AI, intellectual property, and consumer finance. He has submitted an expert report assessing the potential for disparate impact based on race for a discrimination matter in the rental housing market.

As the firm’s Lead Data Scientist, Dr. Chan cofounded the Data Science Committee. He provides strategic direction and implementation strategies regarding technology such as cloud computing, big data, and AI technology in the firm and across matters.

Prior to joining Bates White, Dr. Chan was a lecturer in the Questrom School of Business at Boston University and a visiting graduate fellow at the Federal Reserve Bank of Boston. He is an experienced researcher with interests in applying econometric, statistics, AI, machine learning, and big data methods to analyze economic phenomena, including questions related to the labor market, social networks and media, the real estate market, and cryptocurrencies. He applies AI and machine learning to study the real estate market and to detect changes in government policy and has received substantial research grants for his work in AI and machine learning. His work has been featured in the Wall Street Journal, Bloomberg, and the BBC, among others.


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.

Selected Work

Selected Experience

  • Advised clients in the FinTech sector on fairness in AI and fair lending. Acted as an interdisciplinary liaison between in-house counsels and software engineers, facilitating the exploration of new technologies while ensuring legal compliance.
  • Supported experts testifying before the Copyright Royalty Board as part of a proceeding to determine the appropriate allocation of royalties that cable systems paid in 2010 and 2017 for their retransmission of distant broadcast television signals. 
  • Provided consulting support on various matters related to cryptocurrency. Managed a team constructing cryptocurrency databases; advised client on case strategy, cryptocurrency knowledge, and preparation of complaint; and developed econometric model for damage estimation.
  • Supported testifying expert in submission of affirmative and reply reports in various residential mortgage-backed security (RMBS) cases. Performed technical analyses such as representativeness analysis, forecasting the prepayment and default rates of mortgages, damages estimation, Monte Carlo simulation, and statistical sampling.
  • In the matters ResCap Liquidating Trust v. Home Loan Center and ResCap Liquidating Trust v. Primary Residential Mortg., Inc., managed the team supporting the testifying expert; managed damages analyses arising from more than 80 actions filed by ResCap after it exited bankruptcy protection to recoup billions of dollars in faulty loans and millions of dollars in legal fees for alleged contract breaches.

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