Christopher Llop

Vice President
Christopher Llop



M.I.D.S., information and data science, UC Berkeley School of Information; B.S., electrical engineering, State University of New York at Buffalo

Summary of Experience

Mr. Llop brings deep expertise in data science, natural language processing, software development, and analytics to consulting engagements in areas such as technology, software, intellectual property, and energy. His experience includes managing analytics teams studying both structured and unstructured datasets of all sizes, developing novel tools for data and source code analysis, reviewing source code for patent and copyright infringement, and modeling the dynamics of a variety of markets, including energy. Mr. Llop has managed multiple software development projects, which have involved the deployment of machine learning models for use by physicians, as well as the use of wearable devices and smartphones to gather data as part of medical studies. His experience supporting experts in data science- and technology-related litigation matters has ranged from processing big data in the cloud to reverse-engineering the source code used for cloud computing itself. In the energy sector, Mr. Llop has modeled proposed market rule impacts and analyzed the competitiveness of rate structures. He is a virtual lecturer for Python Fundamentals for Data Science, a highly rated class at the University of California, Berkeley.