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 specializes in information analyses in the technology, software, and energy sectors. His areas of expertise include managing analytics teams, litigation source code analysis, software development, energy market modeling, and policy and governance studies. Mr. Llop regularly supports experts in technology-related litigation matters, from assessments of cybersecurity issues to detailed competitor analyses of the antitrust implications of high-tech product lines. He works on many of Analysis Group’s largest data cases and manages product teams responsible for developing applications to collect and securely store data from sources such as wearable technology. In the energy sector, Mr. Llop conducts economic modeling of proposed market rule impacts and has been involved in studying the competitiveness of rate structures. His experience in governance covers organizational reviews and policy studies related to artificial intelligence and algorithms. He also has experience in health care claims and medical records; his work in this area has been published in Hospital Practice. Mr. Llop is a virtual lecturer on Python Fundamentals for Data Science, a highly rated class at the University of California, Berkeley. He is an active participant in Analysis Group’s pro bono work in Haiti, building methods to measure and optimize patient experiences in a clinic and the data connectivity in a lab.