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Machine Learning Expert Witnesses

Machine learning expert witnesses and consultants listed here may be able to form expert opinions, draft expert witness reports, provide expert witness testimony at deposition and/or trial as or serve as consulting (non-testifying) experts on machine learning. The machine learning expert witness listings on this page are typically from fields/areas of expertise such as: Anatomic Pathology, Artificial Intelligence, Biomedical Engineering, Computers, Cybersecurity, Dermatopathology, Ergonomics, Health Informatics, Information Technology, Intellectual Property, Internet, Marketing, Medical Devices, Software Engineering, and Statistics.

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Aleksandr Aravkin, PhD

UW Professor & Statistics Expert Witness

Perceptron Consulting, LLC (Seattle, WA)

Alaska

Statistics - Epidemiology, Election analysis, Damages estimation, Infectious disease (COVID-19), Business interruption, Medical malpractice, Disparate impact, Statistical analysis and modeling, Analysis of complex data, Data science, Artificial Intelligence, Machine learning, Visualizations

Dr. Aleksandr Aravkin is a statistical expert witness and tenured faculty member at the University of Washington, where he serves as Associate Professor of Applied Mathematics and Director of Mathematical Sciences at the Institute for Health Metrics and Evaluation (IHME). He brings more than 15 years of hands-on experience building, validating, and explaining complex statistical models—expertise he applies to high-stakes litigation across civil and criminal matters. Dr. Aravkin has worked with state Attorneys General of Washington, Colorado, Oregon, and Kansas and with top law firms including Perkins Coie, Pillsbury, and Ballard Spahr. He has been deposed seven times and is known for delivering clear, defensible, and practical testimony. His litigation work spans election analysis, COVID-19 business-interruption claims, medical malpractice, damages estimation, general statistical analysis, and custom data analyses tailored to case-specific questions, including translating physical ...

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Walter Sujansky, MD, PhD

MD and Health IT Expert - MedMal and IP experience

Sujansky & Associates, LLC

Woodside, California

Health Informatics, Software Engineering - Electronic Health Records, EHR, Electronic Medical Records, EMR, Interoperability, Health Information Exchange, Health Data Exchange, Internet, Database, Medical Apps, User Interface, Artificial Intelligence, AI, Machine Learning, Probability, Statistics, Bioinformatics, Intellectual Property, Artificial Intelligence

- A health I.T. expert with a medical degree, medical informatics doctorate, and 20 years of research and development experience in industry. - Adjunct faculty member at Stanford Medical School in the Division of Computational Medicine. - Extensive experience with Electronic Health Records (including audit logs), disease registries, billing/claims system, artificial intelligence, and related technologies - Has consulted as an expert witness on 27 cases since 2011, with 4 depositions and 2 trial appearances since 2019. - A track record of innovation in EHR product development, as well as consulting to health I.T. firms, healthcare provider organizations, pharmaceutical companies, government agencies, and litigators in intellectual property and medical malpractice cases. - Published author and experienced speaker. - Interests and skills include EHRs, clinical data modeling and standards, software engineering, clinical decision support, interoperability, health information exch...

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Iman Sadeghi, Ph.D.

Principal Software & Technology Expert Witness

Quandary Peak Research

Los Angeles, California

Software Engineering, Intellectual Property - Computer Graphics, AI/ML, Machine Learning, Augmented Reality, Virtual Reality, Image Processing, System Architecture, Distributed Systems, Cryptography, Rasterization, Visualization, 3D Modeling, 3D Animation, Patent Infringement, Copyright, Trade Secret Misappropriation, Breach-of-Contract

Dr. Iman Sadeghi is an award-winning computer scientist and software engineer, holding both a master’s and a doctoral degree in Computer Science from the University of California, San Diego. His illustrious career includes roles at tech giants such as Google, Walt Disney Animation Studios, and Lucasfilm. These valuable experiences have enriched his expertise across various aspects of computer science and software engineering disciplines. Currently, Dr. Sadeghi serves as a Principal Software & Technology Consultant at Quandary Peak Research, where he provides critical analysis in legal contexts. He provides deposition/trial testimony, reports, and declarations in the fields of computer graphics, 3D rendering and animation, 3D geometry processing, software engineering, system architecture, algorithms, and data structures. Dr. Sadeghi also conducts thorough source code analysis for software litigation. His work primarily addresses issues related to patent infringement, trade secret mi...

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Jae Young Bang, PhD

Software IP Expert Witness

Cyberonix

El Segundo, California

Software Engineering, Internet - Distributed systems, Software failure analysis, Software defect investigation, Code review, Software architecture, Artificial intelligence, Machine learning, Software patent, Software copyright, Software trade secret, Breach of software contract, Software project failure, Data privacy, Cybersecurity incident, SaaS platform

# Qualifications - Software engineering expert with extensive experience analyzing internet, web, and mobile systems in high-stakes disputes - Deep, hands-on expertise in modern software systems, including web applications, mobile platforms, and distributed backend services - CEO of a technical consulting firm Cyberonix Experts, LLC, specializing in software IP analysis, source code review, and expert testimony - USC Computer Science faculty (teaching graduate-level Software Engineering and Software Architectures courses) # Litigation & Expert Work - Experience serving as an expert in matters involving software patent, copyright, and trade secret - Conducts detailed source code review and technical analysis of software systems at issue - Performs root cause analysis for outages, bugs, and degraded system performance - Assesses claims related to breach of contract, failed implementations, and unmet technical requirements - Supports counsel with clear, well-documented, and defensib...

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Elizabeth Keiser, MD

Stanford & MD Anderson Trained Dermatopathologist

BetaMD

La Jolla, California

Anatomic Pathology, Dermatopathology - Melanoma, Artificial intelligence, Non-melanoma skin cancer, Digital pathology, Skin cancer, Squamous cell carcinoma, Merkel cell carcinoma, Perineural invasion, Adnexal carcinoma, MOHS slides, Prostate cancer, Nevus, Metastatic disease, Soft tissue, Immunohistochemistry, Machine learning

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Alison Marsden, PhD

Biomedical engineer - Stanford Faculty

Stanford University

Stanford, California

Biomedical Engineering, Medical Devices - digital health, finite element modeling, cardiovascular disease, surgical devices, biomechanics, fluid mechanics, pediatric cardiology, pediatric devices, machine learning, artificial intelligence, computational modeling, coronary artery disease, congenital heart disease, artificial heart, stents

Dr. Marsden is a full professor at Stanford and head of the Cardiovascular BioComputational Lab. Dr. Marsden has broad expertise in cardiovascular disease biomechanics and computational modeling. She trained as a mechanical engineer (Princeton BS, Stanford PhD) with expertise in computational science and fluid mechanics before moving into the biomedical field. She has extensive experience with cardiovascular medical devices, including stents, ventricular assist devices, hemolysis and thrombosis, pediatric devices, catheters, and heart valves. She has a particular focus on computational fluid dynamics simulations and finite element modeling of the cardiovascular system, including the incorporation of machine learning and artificial intelligence into clinical decision making. She has worked extensively in pediatric cardiology, applying computational modeling to congenital heart disease for surgical planning and medical device evaluation. She has served as a consultant for medical...

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Joseph C Sremack, CISA, CFE, CIPP/US

Forensic AI, Software & Data Analysis

Resolution Economics

Los Angeles, California

Artificial Intelligence, Software Engineering - data analysis, data science, source code analysis, patent infringement, natural language processing, class action certification, GIS and geospatial data, artificial intelligence, systems controls, data privacy, model analysis, LLM, Python, Java, neural networks, trade secrets, deepfake detection, computer vision, machine learning, SQL

Joe Sremack is a forensic technology expert with more than two decades of experience in complex data, software, and artificial intelligence analysis for high-stakes legal matters. As a Partner at Resolution Economics, he has served as consultant and testifying expert in over 500 engagements across state and federal courts, international arbitrations, and regulatory proceedings in numerous countries. Mr. Sremack is the author of AI Forensics: Investigation and Analysis of Artificial Intelligence Systems (Chapman & Hall, March 2026) and Big Data Forensics (Packt Publishing, 2015). He is a frequent speaker on AI forensics, source code analysis, and data analytics at legal and industry conferences. His technical expertise spans artificial intelligence system examination (including large language models, generative AI, and machine learning pipelines), deepfake and synthetic media authentication, proprietary source code analysis, advanced data analytics, and IT infrastructure assessment...

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Sam Malek, PhD

Software Expert Witness, UC Faculty, 100+ IP Cases

Cyberonix

Irvine, California

Software Engineering, Internet - Computer Science, Software Development, Mobile Software, Android, Computers, Internet, Web, Distributed Systems, Software Architecture, Operating System, Database, Cloud Computing, Software Security, Artificial Intelligence, Machine Learning, Information Technology, Internet of Things, Embedded Systems, Cybersecurity

Highlights - Professor of Software Engineering, University of California, Irvine - 25+ years of experience in academia and industry - 100+ prior engagements in software-related litigation matters - 80+ prior testimonies in trials and depositions - Renowned author of 150+ peer-reviewed publications Formal Education - PhD, Computer Science, University of Southern California, 2007 - MS, Computer Science, University of Southern California, 2004 - BS, Information and Computer Science, University of California, Irvine, 2000 Academic Experience Sam Malek is a Software Engineering Professor at UC Irvine’s School of Information and Computer Sciences, where he directs the Institute for Software Research and Software Engineering and Analysis Laboratory. His research spans software design and architecture, distributed and embedded systems, mobile computing, web technologies, and software security. With 140+ peer-reviewed publications cited over 12,000 times (Google Scholar), Prof. Malek...

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Sanjay Ranka

Computer Science: IPR, Infringement, Invalidity

Distinguished Professor, Computer Science, University of Florida, Gainesville

GAINESVILLE, Florida

Computers, Information Technology - Databases, Algorithms, Parallel Computing, Distributed Computing, Distributed Systems, GPU Computing, High performance computing, Data Analytics, Big Data, Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Expert Systems, Cloud Computing, Marketing, CRM, Advertising, Optimization, Ad Servers

I am a Distinguished Professor of Computer Science at the University of Florida, IEEE Fellow, and AAAS Fellow, and I serve as an expert witness in patent litigation and other complex technology matters involving distributed systems, cloud infrastructure, data platforms, machine learning, GPU-accelerated and high-performance computing systems, and large-scale software architectures. My work focuses on helping counsel and courts understand how modern computing systems operate in practice—particularly where technical claims, system behavior, and real-world implementation diverge. This includes analyzing how systems behave under scale, latency, partial failure, and distributed coordination constraints. I provide clear, structured, and defensible technical analysis across all phases of litigation, including expert reports, depositions, PTAB/IPR proceedings, and trial testimony. I previously served as CTO and co-founder of Paramark, an ad-serving optimization platform (PILOT) that opera...

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Biplab Pal, PhD

Telecom/Electronics/IT- Experienced CTO

Pal Consulting

Ellicott City, Maryland

Information Technology, Intellectual Property - Semiconductor, Optical, Telecommunication, software, information technology, AI, IoT, Generative AI, Patent, Machine Learning, Fiber Optics, Wireless, Embedded System, Middleware, Manufacturing, Sensors, EdgeAI, Chip, Semiconductor Packaging, Electronics

Dr. Biplab Pal, PhD — Expert Witness in Complex Technology Litigation (Middleware/Hardware/AI/IoT, Semiconductor/SoC, Optical Networks, High-Bandwidth Streaming/Robotics): Dr. Biplab Pal has served as the Chief Technology Officer for three start-ups in the IoT and engineering sectors over the past 15 years. He is the inventor of 25 U.S. patents and has an exceptional ability to understand and solve complex engineering problems across hardware, systems, and software. Dr. Pal is a sought-after expert witness and consultant in high-profile, technically intricate litigation between major technology companies. Currently, as the founder of Avocate.AI, he has developed an advanced agentic AI platform designed to rapidly evaluate complex litigation cases. This system delivers detailed preliminary assessments of case strategies, potential evidence, and technical issues within 24–48 hours. Dr. Pal offers this initial evaluation service—either free or paid—to help attorneys quickly gauge cas...

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Sarah Vancini, MBA

Testifying Marketing AI Expert Witness

Boston, Massachusetts

Artificial Intelligence, Marketing - Artificial Intelligence, Expert witness testimony, Marketing, Brand Strategy, Federal District Court, Content marketing, Technology Patent, Marketing strategy, AI marketing, Data analytics, Marketing automation software, Brand positioning, Machine learning, Machine learning advertising, Healthcare marketing, B2B marketing, IP

Ms. Sarah Vancini specializes in developing AI software for marketing professionals and has served as an expert witness in Federal District Court for cases related to patent law infringement involving AI tools. As a Marketing Strategist and Data Analyst, she has worked with Fortune 50 companies including CVSHealth, Black Stone, and Mass General Brigham. She holds an MBA from a top 25 school and has earned more than 20 advanced certifications from Google, Hubspot, and Meta. Her professional experience includes tactical planning across trade, media, programmatic, and digital channels for a Fortune 100 consumer goods and healthcare conglomerate with $5.3B in annual revenue. She also led the rebrand of a Fortune 500 SaaS firm in preparation for an exit event. In addition, Ms. Vancini has managed Google Ads for seven cardiovascular devices, including pumps and stents, for a medical device company with $34.6B in annual revenue. She conducted market analysis for the insurance market for ...

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Anwar Ouassini

Harvard AI Expert: Healthcare, LLMs, Agentic AI

Cambridge, Massachusetts

Artificial Intelligence, Health Informatics - Healthcare AI, Bad Faith Denials, Insurance Denials, HIPAA, Machine Learning, Prior Authorization, Agentic AI, Clinical Decision Support, FDA, RAG, LLM Hallucinations, Generative AI, Utilization Review, EEOC, AI Ethics, Algorithmic Bias, AI Governance, AI Fraud, Daubert, ChatGPT

AI expert witness with 15+ years building, deploying, and auditing 100+ production AI systems. Rare combination of practitioner, scholar, and researcher - the expert opposing counsel can't dismiss as "just an academic" or "just an engineer." Most AI experts fall into one category: academics who've never shipped production code, or engineers who can't write a defensible report. I've done both - built AI systems at Harvard Medical School, Apple, and federal agencies while publishing award-winning peer-reviewed research on AI ethics and large language models. This dual foundation creates opinions that survive Daubert challenges and cross-examination. Technical expertise spans multiple domains, including healthcare AI and insurance bad faith litigation, including prior authorization algorithms, utilization management systems, AI-driven claim denials, and clinical decision support failures. Deep experience with LLM hallucinations and defective outputs including GPT, Claude, and Llama fa...

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Mark R. Lehto, PhD

Ergonomics, Chemicals, Artificial Intelligence

J.M. Miller Engineering, Inc.

Ann Arbor, Michigan

Warnings & Labels, Ergonomics - Accident Investigation, Ergonomics, Boating Safety, Accident Modeling, Aquatics, Human Factors, Marine Accident, Instructions, Chemicals, Labels & Warnings, Restraint System, Effectiveness, Child Safety, Safety Equipment, Machine Learning, Consumer Product, Slip Trip & Fall, Artificial Intelligence

There are four PhD and registered Professional Engineers at Miller Engineering who are celebrating 40 years of Professorships at three universities along with providing services to Government, Insurance, and Industry - through research, publications, presentations, and expert testimony. These co-founders and associates are James M. Miller, PE, PhD; Mark R. Lehto, PhD; James M.L. Miller, MS, PhD, EIT; Adam M. Olshove, PE, MSE; and Jeffrey D. Rupp, MSE. Miller Engineering has a dedicated office with a full-time staff of engineers, researchers, and technical writers. The span of our collective academic and experiential expertise includes the Mechanical, Electrical, Chemical, Agricultural, Industrial, Human Factors, Ergonomic and Safety fields of engineering. Miller Engineering also designs and operates hydroelectric and solar energy sources within their agricultural, forestry, marine, and cattle subsidiary operations in Idaho and Oregon, lending to unique hand-on expertise in these a...

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Maryam Vatankhah, PhD

AI & Machine Learning Expert Witness

AiTech Space

Fair Lawn, New Jersey

Artificial Intelligence, Information Technology - Generative AI, NLP, AI, Machine Learning, Data Analysis, Deep Learning, Neural Networks, Data Pipeline Architecture, Cloud AI Service, Healthcare AI, HIPPA, Electronic Health Records, FHIR, Digital Health, AI Privacy, AI Transparency, AI Regulatory Compliance, AI System Audit, Data Breach Analysis, Data Process Analytics

Dr. Vatankhah is an Artificial Intelligence, Machine Learning, and Data Analysis expert with over 15 years of experience designing, building, and auditing AI systems across healthcare, enterprise software, and consumer technology. She holds a PhD in Biomedical Engineering and an MS in Computer Science, and is certified in Azure AI by Microsoft. Dr. Vatankhah served as Assistant Professor of Computer Information Systems at higher education universities and is the Founder and CEO of AiTech Space, an AI consulting firm serving enterprise clients in healthcare, supply chain, and IT operations. She is available to serve as an expert witness in matters involving: - AI System Disputes— evaluating whether an AI system performed as represented, including failure analysis, output accuracy, and system behavior under specific conditions - Data Analysis & Statistical Evidence— analyzing datasets, identifying patterns, validating or challenging data-driven conclusions, and presenting complex quan...

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Lei Li

PhD Biostatistician & FDA Clinical Trial Expert

LunarAI LLC

Landenberg, Pennsylvania

Statistics, Medical Devices - biostatistics, FDA, Pharmaceutical Statistics, Sanofi, Edwards, Gilead, AI/ML expert, machine learning, clinical trial, Medical Device, Vaccine, Group Sequential Design, Bayesian Adaptive Design, Statistical Review of Evidence, Oncology, Epidemiological, Regulatory Submissions, Survival Analysis, Statistical Expert Witness, RWE

Lei Li, PhD, is a biostatistician and former FDA CDRH statistical reviewer with extensive experience in regulatory statistics, Real-World Evidence (RWE), medical device submissions, and pharmaceutical development. At FDA, Dr. Li evaluated statistical components of 510(k) and PMA submissions, assessed safety and effectiveness evidence for medical devices, reviewed RWE and post-market studies, and advised on complex statistical issues for regulatory decision-making. His FDA work included evaluation of study design adequacy, endpoint justification, sample-size rationale, bias and confounding, missing data robustness, and interpretation of clinical performance metrics under regulatory standards. In industry, Dr. Li served as Statistical Project Leader at Sanofi and Principal Biostatistician at Edwards Lifesciences, supporting global clinical and regulatory programs across multiple therapeutic areas, including rare diseases, inflammatory diseases, vaccines, oncology, and cardiovascular ...

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Celeste Chamberlain, DSc

Cybersecurity & AI Policy Expert Witness

Stafford, Virginia

Cybersecurity, Information Technology - Cybersecurity, CMMC, Government Compliance, Algorithmic Discrimination, Expert Witness, Data Breach, System Security Plan (SSP), IT Risk Assessment, Machine Learning, Digital Civil Rights, FISMA, Incident Response, Artificial Intelligence, AI Ethics, Federal IT, NIST 800-53, Vulnerability Management, AI Bias, Automated Decision-Making

Dr. Celeste Chamberlain is an expert in cybersecurity processes and procedures, federal IT policy, and AI governance. She offers expert witness services in litigation involving data breaches, federal compliance failures, AI bias, digital civil rights, and emerging technology risk. With over 20 years of experience in both public and private sector cybersecurity, Dr. Chamberlain brings deep technical knowledge, strong communication skills, and policy-level insight to every case. Dr. Chamberlain holds a doctorate in Emergency Management with a focus on cyber incident response. She currently serves as a professor of AI, cybersecurity, and quantum computing at the University of Maryland Eastern Shore. She is also the President of Information Protection Solutions (IPS), a federal IT and cybersecurity firm with a track record of success supporting agencies such as the FBI and FEMA. Her work includes managing system security plans (SSPs), assessing FISMA/NIST 800-53 compliance, implementin...