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 brings deep expertise in data science, natural language processing, software development, and analytics to consulting engagements in areas such as technology, intellectual property, health care, antitrust, and energy. Mr. Llop regularly leads teams supporting technology and data science experts in litigation matters. His experience includes leading 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. Mr. Llop has also 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 real-world evidence (RWE) and data as part of health care studies. He has also supported litigation experts in areas such as cybersecurity, technical experimentation (such as with video streaming), and AI capabilities. In the energy sector, Mr. Llop has modeled proposed market rule impacts and analyzed the competitiveness of rate structures. He has volunteered on several 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
2017 -
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
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April 23, 2021