Christopher Llop

Education
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 leading technical and data science teams in support of expert testimony in litigation involving software systems, algorithms, data, and source code. His work spans intellectual property (IP), antitrust, cybersecurity, and software-related commercial disputes, and his experience includes enterprise cloud platforms, mobile applications, embedded devices, and AI systems. Mr. Llop has supported experts through forensic review of source code and logs, live testing and simulation, and technical reconstruction to clarify how algorithms and data were used. He also supports damages analyses involving complex software and data systems by establishing connections between technical evidence and economic conclusions. He has led the analysis of large, complex, and scraped datasets to surface facts critical to expert submissions. Mr. Llop’s case work includes disputes involving allegations of algorithmic collusion, IP theft, the training and use of AI models, mobile app store security, and how software was developed or configured. In addition, he has served as an expert and provided testimony in a matter before the National Advertising Division.
In addition to his litigation work, Mr. Llop has built mobile and wearable applications to collect real-world data from health care study participants and used linear optimization to model competitive dynamics in energy markets. He plays a leadership role in the firm’s internal data science team and contributes to its strategic guidance on emerging technologies, including AI. Mr. Llop has also volunteered on analytics projects in Haiti and taught Python Fundamentals for Data Science as a lecturer at the University of California, Berkeley.
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Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting
Scientific Reports, 2023
2023Hamy V, Llop C, Yee CW, Garcia-Gancedo L, Maxwell A, Chen WH, Tomlinson R, Bobbili P, Bendelac J, Landry J, DerSarkissian M, Yenikomshian M, Mody EA, Duh MS, Williams R
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Pathways Study: Evaluation of Pathways to a Future Grid
White Paper, April 2022
2022Schatzki T, Llop C, Ross P, Shen J, Stuart D, Farrel T, McManamy C, Daniels L, Ma S
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Antibiotic treatment patterns, costs, and resource utilization among patients with community acquired pneumonia: a US cohort study
Hospital Practice. Feb 2017;45(1):1-8
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Study to Establish New York Electricity Market ICAP Demand Curve Parameters
White Paper, September 2016
2016Hibbard P, Schatzki T, Aubuchon C, Llop C, Berk E
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February 24, 2023
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April 9, 2024
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November 14, 2023
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July 19, 2022
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June 1, 2022
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April 20, 2022