Dr. Haozhen Zhao is a Senior Director at Ankura, based in Washington, DC. He specializes in machine learning application architecture and development, algorithmic trading systems for securities and cryptocurrencies, and financial disputes. At Ankura, Haozhen focuses on applying cutting-edge machine learning and artificial intelligence (AI) technologies in developing products and platforms to solve challenging structured and unstructured data analytical problems in the legal industry. Haozhen has also acquired extensive expert advisory and consulting experience in many high-profile financial dispute and investigation cases covering cryptocurrency trading systems, high frequency trading systems, derivatives antitrust litigation, insider trading criminal trial proceedings, and credit card fraudulent activities investigation, among others.
Haozhen has over a decade of experience in designing and developing machine learning related applications in both academic and industrial settings. Within the Ankura advanced analytics team, Haozhen is the system architect and technical lead in developing the company’s proprietary text analytics platform, which implements advanced analytics technologies such as predictive coding, near duplication detection, email threading, clustering, and key phrases recommendation in facilitating legal document review. In addition to his leading and managerial roles in development, Haozhen is also in charge of the platform’s successful delivery and operation in the US, UK, and Asian environments to serve global clients.
Haozhen has three years’ consulting experience in complex financial service disputes cases. His roles in these engagements include reviewing and understanding source codes for operational proprietary security and cryptocurrency trading software and exchange platforms and preparing expert reports on the working of trading strategies and systems and analyzing and producing huge volume, generally in tens of terabytes (TBs), transactional data, e.g., unstructured log files and account statements, and structured trade and quote (NYSE TAQ) data. He develops creative in-house big data analytics solutions for rapidly extracting and mining huge volume of transactional data in demanding litigation scenarios.
Haozhen actively participates in thought leadership efforts in domains such as legal artificial intelligence (AI) and big data analytics. He organizes the annual Big Data Analytics in the Legal Industry Workshop in the IEEE International Conference on Big Data, regularly presents research papers, and serves in program committees in leading legal and technological conferences.
Haozhen’s professional experience includes:
Machine Learning Application Architecture & Development
Algorithmic Trading Systems for Securities & Cryptocurrencies
Financial Dispute Consulting