Data Science Expert Witnesses

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Data science expert witness candidates typically have extensive experience and a background in big data, machine learning, computer science, software engineering, and/or data analysis. While many experts have data science expertise, an expert witness carries the additional responsibility of providing testimony before the court in a manner whereby a judge and jury can understand the technology and digital evidence. In a high-profile case, or litigation involving a significant financial stake, an attorney may require a data scientist specialist with prior expert witness testimony experience.

Dealing with vast volumes of data, or “big data,” data science uses tools and techniques to discover patterns, derive meaningful information, and make business decisions. Data science uses machine learning algorithms to build predictive models. Often, matters requiring data science expert witness services involve intellectual property, such as patent infringement litigation or a trade secret dispute. Litigation support by a data science professional could include expert report preparation, expert opinion, and/or expert testimony. In addition, clients may seek a data scientist for pre-litigation consulting work.

Representing a plaintiff or defendant, Cahn Litigation Services is often called on by leading law firms to locate expert witnesses that can support a data science litigation matters. Whether the case involves:

• statistical analysis and statistical methods,
• machine learning systems,
• artificial intelligence,
• data mining,
• computer forensic evidence (e.g., to assist law enforcement), or
• big data processing (e.g., for use in education, insurance, banking),

Cahn Litigation Services has the experience needed to turn an expert search around quickly. The firm has an earned reputation for providing experts with the right balance of expertise and testimony experience for each unique project.

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Data Science Expert Witness - Representative Bios

Please Note: All Cahn Litigation expert witness searches are customized to attorneys' precise specifications and preferences. Attorneys are encouraged to discuss search parameters with a Cahn search specialist.

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The below expert witness bios represent a small fraction of those Data Science experts known by Cahn Litigation Services. These bios are provided to give lawyers a sense of the Data Science landscape.

• Expert Witness #255343

  This expert is an Associate Professor of Information Science and an affiliate member of Computer Science at a University. This expert's research interests include studies of interactive information retrieval/seeking, especially those involving social and collaborative aspects. This expert studies social media and data generated by wearable devices as kinds of signals that can help us understand and impact human behaviors. This expert teaches in Information Science and Data Science programs (at undergraduate and graduate levels), and this expert's research falls under and uniquely connects Computer Science, Data Science, and Information Science.

  This expert received a PhD in Information Science, an MTech, Computer Science & Engineering, and an MS, Computer Science. This expert has published and talked extensively on topics related to social and collaborative information seeking, interactive information retrieval, and social media. This expert has served as a consultant to an international organization on various Data Science projects involving social and political issues, peacekeeping, climate change, and energy.

  This expert is interested in various aspects of information seeking/retrieval, in personal, group, and social contexts. In addition to looking at information being generated and shared in online environments as a part of Information Science, this expert investigates ways to collect and transform data to meaningful information under the broad label of Data Science. This involves Big Data analytics, mobile and sensor-based data collection, and data mining and machine learning techniques. Finally, this expert is interested in investigating how data, information, and knowledge influences people's, organizations', and communities' behaviors as a part of what this expert refers to as Decision Science. This expert tries to keep a balance between studying systems and users, designing algorithms and theories, and building tools and conducting user studies.

  
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• Expert Witness #251608

  This expert received a B.A. in Mathematics and Computer Science, an M.A. in Computer Science, and a Ph.D. in Computer Science. This expert served as Chair of the Computer Science Department and is currently Full Professor of Computer Science and member of the university's Center for Complex Systems. This expert's research interests include computer algorithms, communications and internet related computing, data compression and archiving (including text, images, video, and multi-media), storage and processing of large data sets, image retrieval, object recognition, text, image, and video processing, parallel computing, machine learning. This expert has obtained U.S. patents, does computing technology consulting, and is widely published in the areas of data compression and content recognition. This expert has extensive prior litigation experience having served as a testifier (at deposition and/or trial) in several high-profile patent matters.

  
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• Expert Witness #256912

  As a technology expert with many years of litigation experience in over 50 cases, including 17

  patent infringement cases and 25 IPR/CBM/GPR cases, this expert has authored reports and declarations, generated over 100 claim charts, inspected tens of millions of lines of source code, and examined numerous systems. This expert has a Master of Science in Computer Science as well as many years of experience in engineering, development, consulting, and management in data networking, monitoring, Web/Internet, software, and systems. This expert’s professional background includes cofounder of an Internet company providing human communication online rating and evaluation tools and services; cofounder and president of a provider of automated Web-based telecommunication test services; cofounder and CEO of an Internet eCommerce and portal company; general manager of data storage business unit and general manager of data networking business unit at a supplier of data storage and data networking systems; founder and president of a supplier of data storage manufacturing systems; and many years as telecommunication engineer and software developer.

  This expert has extensive experience with networking and test and monitoring systems. As general manager of a data networking business unit, this expert was responsible for a data networking analysis tools business unit that designed and built network protocol analysis and monitoring products sold, under OEM agreement, by the largest network protocol analysis and monitoring products supplier. These products, among other capabilities, could trap and record IP addresses and data packets matching criteria in the various layers of the TCP/IP stack.

  This expert designed data storage test systems and was involved with data storage protocol analyzers and monitoring products, including the best-selling data storage protocol analysis and monitoring products. For several years, as an engineer, this expert designed and implemented computer networks, data communication systems, test systems, and monitoring systems. This expert also has many years of experience in and deep understanding of Web/Internet technologies.

  This expert has litigation experience with several cases and IPRs involving data networking cases and monitoring. This expert worked for a year on a trade secret and copyright case dealing with data networking load balancers.

  
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• Expert Witness #264209

  This expert is a Professor and Chair of Computer Science and Director of the Master of Data Science Program an Institute of Technology. This expert received a B.Sc. in Applied Mathematics and a Ph.D. in Computer Science. This expert’s research focuses on semantic machine learning, mainly on developing computational methods for style-based analysis of natural language. This expert’s work explores applications to intelligence analysis, forensic linguistics, biomedical informatics, and humanities scholarship. This expert’s recent research projects include extracting structured representations of opinions from text, authorship profiling of anonymous texts, and evidence-based analysis of the medical literature, from large amounts of textual data. This expert has published over 100 scientific articles on machine learning and computational linguistics.

  This expert’s dissertation research was on machine learning and visual recognition for mobile robots. This expert has researched and published in peer-reviewed journals and conferences on machine learning, image recognition, classification, information extraction, and natural language processing. This expert has also worked as a consultant and advisor on commercial technology in machine learning, image recognition, information retrieval, natural language understanding, and automated question-answering. Recent projects worked or advised on include:

  • Research on neural networks and genetic algorithms for automatically analyzing and interpreting data collected from high-energy physics experiments.
  • Developing and evaluating improved deep learning neural network models for identifying images containing weapons.
  • Analyzing the state-of-the-art in text analytics and virtual agents and how ontological knowledge representation can improve it and be applied commercially.
  
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• Expert Witness #255351

  This expert holds a PhD in Computer Science and is an internationally recognized data science and machine learning expert. This expert has held various technical directorships, leads, and Chief Scientist positions for technology giants. Additionally, this expert has helped identify and evaluate investment opportunities, and assisted portfolio companies by providing strategic guidance and mentorship as well as led efforts around intellectual property -- which included successfully defending a company against patent trolls. This expert holds more than 30 patents in the areas of query, keyword, semantic, and other information retrieval searches and is well published in the field.

  
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• Expert Witness #264978

  This expert is a computer scientist with many years of experience in Pattern Recognition and Machine Learning research. This expert’s research agenda focuses on applied machine learning, that is developing systems and innovative sensor data analysis methods for real world applications. Primary application domain for this expert’s work is computational behavior analysis where this expert develops methods for automated and objective behavior assessments in naturalistic environments. Main driving functions for this expert’s work are "in the wild" deployments and as such the development of systems and methods that have a real impact on peoples’ lives.

  This expert’s research is focused on developing methods for sensor-based behavior analysis in which mobile and ubiquitous computing plays a key role. This expert uses a large variety of sensors including inertial measurement units (accelerometer, gyroscope, magnetometer), galvanic skin response sensors, barometers etc. and optical heart rate monitors to capture relevant physiological parameters that are then automatically analyzed in order to assess the health and wellbeing of a human. The sensors are typically integrated into mobile or wearable platforms such as smartphones and smart watches. With a formal education in technical computer science (with focus on electrical engineering) this expert possesses detailed knowledge of the physical and electrical principles underlying the various sensing modalities. The majority of this expert’s work is related to developing and deploying signal processing methods and machine learning techniques that allow for automated analysis of the sensed phenomena through software.

  This expert has been teaching sensors and sensor data analysis for many years. Over the years this expert has taught hundreds of students the technical foundations of mobile and ubiquitous computing. Practical class projects as well as individual student projects focus on sensors and algorithmic sensor data analysis as the key component of context aware computing in general and health assessments in particular. This expert mentored a group of graduate students on a project that used pulse oximetry in a wrist-worn device to recognize altitude sickness in alpine climbers.

  
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• Expert Witness #210006

  This economist and FCRA expert holds a Ph.D. in Political Science and an M.A. in International Affairs from a prestigious university and serves in a senior leadership and scholarly role at a nonprofit policy and economic research organization.

  The vast majority of this expert's expert witness work, developed over 20 years, has involved FCRA-related cases. This expert has worked on matters for both plaintiffs and defendants, including government regulators, consumer reporting agencies, financial institutions, and credit card issuers. These cases most often involve alleged violations of the FCRA's "maximum possible accuracy" obligation, especially in the context of the reasonableness of policies and procedures, including checks and protocols for quality assurance and data integrity at ingestion, when data is loaded into a live file, and when data is transmitted to an end user.

  This expert's organization has conducted substantial research on the accuracy of consumer credit files as maintained by consumer reporting repositories. A major study by the organization on this topic remains a leading study on data accuracy, alongside a federal FACT Act Section 319 report to Congress that was heavily influenced by that research and extensively cited by regulators. The organization has testified before Congress, advised federal regulators on credit bureau data quality, and had staff serve as expert witnesses in over 80 cases, the vast majority of which were favorably settled. The organization is viewed by regulators as a thought leader on matters relating to consumer credit reporting and scoring.

  This expert is an economist, not an attorney, and has been involved in matters pertaining to credit bureau data accuracy for over 20 years. Lawmakers and regulators have long pressured the three nationwide consumer reporting agencies to improve data quality. This regulatory pressure contributed to the National Consumer Assistance Plan, or NCAP, and medical debt collections were part of broader settlement efforts to improve data quality. Medical debt collections have long been shown to be among the least accurate tradelines on credit files, making them an obvious candidate for attention.

  Newer generic credit risk models heavily discount unpaid medical debts and collections because these tradelines are understood to be problematic and messy. Although this expert does not believe there is prior experience with a medical debt collection case specifically, this expert has considerable experience with credit file data quality and has worked with regulators, academics, industry participants, and consumers on research projects focused on this topic. This expert has a deep understanding of how credit reports affect individual decision making and has published a report on how including non-financial payment data in credit reports impacts payment behavior.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #238606

  This algorithmic curation expert holds a PhD and is an internationally recognized scholar in AI, machine learning, personalization, and recommender systems, with over 180 papers published on these and related topics. This expert has served as editor-in-chief of a prominent professional journal focused on management information systems and regularly participates in organizing and program committees for leading data science, personalization, recommender systems, data mining, and information systems conferences, including leadership roles with prominent conferences in recommender systems and data mining.

  This expert has also served as an advisor to several technology companies, including board advisory roles for companies in areas such as analytics, software, online trust, education technology, and related technology markets.

  
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• Expert Witness #238646

  This server architecture and distributed systems expert holds a PhD and is a Distinguished Professor in a computer information science and engineering department at a well-regarded university. This expert is a fellow of several prominent technical and artificial intelligence associations and a past member of an international committee on system modeling and optimization. This expert has received a research impact award from a prominent cloud computing technical committee, and this expert's research has been funded by major government agencies and transportation, science, and energy organizations.

  This expert's research and professional work over the past two decades has focused on large-scale distributed computing systems, including geographically distributed server architectures, data replication across data centers, and the coordination of services across multiple regions. These systems commonly rely on master/replica configurations, synchronization protocols, and write-authority mechanisms that maintain data consistency and operational coordination across distributed infrastructure.

  In a senior technology leadership role at a technology company, this expert designed and deployed a real-time, fault-tolerant distributed server platform that processed millions of automated decisions per day with high uptime. The system operated across multiple servers and required careful design of replication, synchronization, and high-availability mechanisms in a distributed environment. Through both industry experience and academic research, this expert has worked extensively with architectures in which data and services are coordinated across geographically distributed computing infrastructure.

  This expert's academic research has also included extensive work on grid computing and modern cloud and large-scale data platforms. This expert is the named inventor on numerous U.S. patents related to machine learning, distributed systems, and optimization technologies, and has received a cloud computing research impact award for contributions in this area.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #248888

  This streaming data analytics expert is a globally recognized authority on technology issues relating to intellectual property in the digital age, with experience in standards initiatives involving content identification, metadata, and rights. This expert holds a B.S.E. in Electrical Engineering and Computer Science from a prestigious university and an M.Sc. in Computer Science from a well-regarded university.

  This expert teaches data analysis in the music industry in a music business program at a well-regarded university and has taught the subject for over 5 years. This expert also co-teaches a course on technological transformation in the music industry.

  This expert has deep experience with music rights management data, processes, and technologies, and has written expert reports and testified in litigation and royalty-setting matters involving copyright, streaming media, digital music services, Internet radio performance royalties, sound recording performance royalties, audiovisual content, user-generated content, and digital performance royalty issues. This experience includes matters before federal court, rate court proceedings in the Southern District of New York, Copyright Royalty Board proceedings, and Copyright Board of Canada royalty rate proceedings.

  This expert has consulted for digital music streaming services and major music-label groups. This expert is also the coauthor of a recent book on how technology has transformed the music industry and a white paper addressing digital music distribution, copyright, and rights administration in the digital age.

  This expert has a background in computer science and understands the technical architectures of streaming services. This expert is also familiar with streaming fraud tactics and techniques for combating streaming fraud.

  For many years, this expert has run an annual conference focused on copyright and technology issues. This expert is an experienced expert witness and litigation consultant, with experience in matters involving copyright, digital content, and security technologies in federal court, before the Copyright Royalty Board, and before the PTO. This expert has testified before and advised public policy entities on digital copyright and technology issues across multiple continents.

  
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• Expert Witness #260242

  This streaming data analytics expert holds a PhD in Computer Science and Engineering, with doctoral research in machine learning from a well-regarded university, and has over 20 years of industry and academic experience involving UX and UI design, mobile application development, streaming platforms, and data analytics. This expert has also worked on UX considerations for a major television platform and led a government-funded machine learning research program at a public university.

  This expert is an experienced testifying expert with a focus on data science, streaming platforms, and digital forensics. This expert can analyze streaming data, explain how recommendation algorithms work, and discuss metrics used in streaming. This expert can also critique damages models and reconstruct marketing timelines against release schedules. This expert does not testify on music industry norms, standard label practices, or the legal interpretation of recording contracts, focusing instead on technical and quantitative issues.

  This expert has filed expert reports and testified in deposition and at trial. This expert has provided opinions in matters involving major technology companies, digital platforms, hardware companies, and related businesses.

  
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• Expert Witness #261303

  This visual perception expert holds a PhD and is an academic professor in computer science, vision science, and optometry at a well-regarded public university. This expert created and developed vision realistic rendering, which produces visual simulations demonstrating what is actually being seen and perceived by a specific individual based on data and measurements of the person's vision system, including higher-order aberrations rather than only spectacle visual acuity as measured by optometrists.

  This expert's related work includes development of a vision-correcting display that produces a transformed image that appears in sharp focus when viewed by a visually impaired individual. This research was selected by a prominent science publication for an annual list of notable world-changing ideas.

  This expert has also been deeply involved in bringing to light design flaws in a commercial aircraft model that led to two fatal crashes, including discussion of those issues in a documentary context. This expert has served as an expert witness for defendants and has also been appointed by a court as a Special Master.

  
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• Expert Witness #267101

  This image retrieval/analysis and geospatial data expert holds a B.Sc. in Computer Engineering and M.Sc. and Ph.D. degrees in Computer Science, and has held academic and departmental leadership roles in Computer Science, Electrical Engineering, and Spatial Sciences at a leading university.

  This expert has worked on the integration of geospatial data with maps and aerial imagery.

  This expert has authored a number of books and over 300 research papers in databases, GIS, and multimedia, holds over 10 U.S. patents, and is active in several industry groups.

  
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• Expert Witness #284748

  This data security expert designs user experiences and strategic roadmaps for organizations seeking to transform mobile, creativity, and productivity workflows. This expert is credited with over 5 patents in areas including special effects for film and video, mobile software, and hardware, and is routinely called on as a speaker, guest lecturer, strategic consultant, and expert witness in software contract disputes and intellectual property litigation.

  This expert formerly served as a software engineering executive at a prominent technology company and sold a first start-up to that company. Speaking engagements include a prestigious developer conference and a prominent broadcast industry conference. This expert holds a B.Sc. in Computer Science, an M.Sc. in Computer Science, and an MBS from well-regarded universities.

  
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• Expert Witness #284844

  This data security/intrusion expert is a computer scientist and cybersecurity specialist who leads a professional practice addressing matters such as data breaches, computer crime, and the use of data in litigation. This expert has been engaged in criminal, civil, administrative, and military processes for both those bringing and defending actions, as well as for courts directly. This expert's opinions have been accepted by federal and state courts throughout the country in hearings, trials, and appeals.

  This expert was the primary investigator in a notable internet privacy research project showing how decisions made in the design and implementation of internet-connected systems affect computer-system security and user privacy. The work has been reported in worldwide media and computer science literature, as well as in published professional writing. This expert has held a senior academic teaching role in a computer science and engineering department at a well-regarded university and has guest lectured through a privacy-focused foundation and at multiple universities, graduate programs, a law school, and a business school.

  
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• Expert Witness #290651

  This data center expert holds a PhD and is a professor in computer science and engineering at a well-regarded university, with research interests in energy-efficient computing, computer architecture, neuromorphic computing, and distributed and embedded systems.

  This expert has decades of experience, hundreds of publications, and patents in areas related to data centers and efficient processing. This expert has received fellow recognition from prominent professional societies for work on efficiency.

  This expert spent over 5 years as a full-time research scientist at a corporate research laboratory while also leading research efforts at a prestigious university. Before pursuing a PhD, this expert worked as a senior design engineer at a major technology company.

  This expert has testified on several occasions.

  
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• Expert Witness #292585

  This biometrics data expert is a digital investigations professional with over two decades of forensic data and technology experience. This expert's experience includes a number of investigations involving biometric data, including the collection and analysis of facial recognition data and health biomarkers.

  These examinations included evaluating the collection and storage of biometric data and assessing the reliability of that data. This expert routinely conducts examinations of systems, software, and complex data contained in those systems in the context of litigation, investigations, and corporate compliance.

  This expert holds a master's degree in computer science and has authored work on big data forensics. This expert is also a participating member of a prominent professional biometrics council and holds relevant certifications, including Certified Information Privacy Professional (United States). This expert has testified on several occasions.

  
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• Expert Witness #304680

  This census data/GIS expert holds a PhD and is an academic professor of geography at a well-regarded university, with recognized expertise in Census data analysis. This expert authored a standard reference text for applied Census data analysis and created widely used software tools for accessing, analyzing, and visualizing U.S. Census Bureau data programmatically.

  This expert has developed software tools used by researchers, government agencies, and private-sector analysts nationwide, including tools that provide access to Census Bureau geographic boundary files at every level of geography from states down to individual census blocks, as well as other software packages for demographic analysis and visualization that collectively account for millions of downloads. This expert has also received prominent industry recognition for spatial data science work involving Census data.

  This expert's research and tools are designed to extract, analyze, and visualize population and demographic data at fine geographic scales, including block groups and blocks within municipal boundaries. This expert has been involved in consulting projects with Census data for over 10 years. In these engagements, this expert has used American Community Survey (ACS) and Decennial Census datasets to produce population counts and density estimates for small areas, as well as custom demographic forecasts and simulations.

  
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• Expert Witness #305526

  This data privacy and security expert holds bachelor's degrees in mathematics and computer science, Master's degrees in Computer Science and Education, and has served for nearly a decade as an adjunct professor in a university Master of Science in Information Security and Assurance program. This expert offers technical and regulatory expertise in the mechanics and legal implications of online tracking technologies, including Meta Pixels, web beacons, cookies, and Conversion APIs (CAPI). This expertise is further supported by work as a subject matter expert (SME) and co-author of industry technology and governance standards for government and professional standards bodies.

  This expert has served as a technical expert in over 5 cases focused on the application and analysis of Meta Pixels and associated tracking technologies. With experience spanning both plaintiff and defense representation, this expert provides a broad view of how these technologies are litigated under various regulatory frameworks, including VPPA, HIPAA, GLBA, BIPA, and CIPA. This expert has testified in federal court, including a multi-day evidentiary hearing regarding Meta Pixel tracking, serving as a primary technical resource for the bench, clarifying complex operations, and rebutting factual inaccuracies presented by opposing counsel.

  With over 35 years of experience in the practical application of IT, information security, privacy, and regulatory compliance, this expert has the depth to provide professional opinions on the intersection of technical data extraction practices and their legal implications. This expert's practitioner experience bridges the gap between technical forensics and the practical application of the Computer Fraud and Abuse Act, California Penal Code ? 502, and broader federal and state statutes. This expert offers demonstrated expertise in cybersecurity, data privacy, and digital forensics, with experience in legal issues surrounding unauthorized data access, web scraping, and data misappropriation. This expert's focus centers on the operational standards governing lawful data acquisition, moving beyond the technical nuances of personally identifiable information to assess whether extraction activities align with established organizational compliance, legal requirements, and industry norms.

  This expert is an experienced expert witness and litigation consultant.

  
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