Christopher Llop

About Christopher Llop

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.

Experience

1. Vice President

   Analysis Group

   Jan 2022 — Present

Education

• Capital Normal University

  Language Study, Intermediate Level Mandarin

  2007 — 2007

• Harvard Extension School

  Selected Classes, Statistics and Microeconomics

  2012 — 2013

• University at Buffalo

  Bachelor of Science, Electrical Engineering

  2006 — 2010

• UC Berkeley School of Information

  Masters of Information and Data Science (MIDS)

  2014 — 2016

Skills

• Expert Report Analyses
• Livenote
• Budgets
• Large Datasets
• Deposition Review
• Climate Change
• Passionate About Work
• Sustainability
• Quantitative Analytics
• Microsoft Excel
• Group Facilitation
• Healthcare Data
• Public Speaking
• Leadership
• Sas
• Facilitation
• Non-Profits
• Data Analysis
• C++
• Data Cleaning
• Energy Economics
• Rebuttal Analyses
• Energy
• Expert Reports
• Consulting
• Excel Modeling
• Sql
• Visio
• Statistical Data Analysis
• Vba
• Financial Data
• Interviews
• Project Planning
• Energy Data
• Energy Efficiency
• Team Leadership
• Economics
• Organizational Leadership
• Informal/Formal Training
• Stata