Machine Learning Expert Witnesses

Irvine, California

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

Highlights - Professor of Software Engineering, University of California, Irvine - 20+ years of experience in academia and industry - 50+ prior engagements in software-related litigation matters - 40+ prior testimonies in trials and depositions - Renowned author of 120+ 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 in the Informatics Department within the School of Information and Computer Sciences at the University of California, Irvine. His research is in the field of software engineering, and to date his focus has spanned the areas of software design and architecture, distributed and embedded systems, smartphone and mobile computing, internet and web technologies, and software dependability and security. Re...

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...

San Carlos, 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

- A seasoned health I.T. professional with a medical degree, medical informatics doctorate, and 30 years of research and development experience in industry. - Adjunct faculty member at Stanford Medical School in the Center for Biomedical Informatics Research. - A track record of innovation in product-development roles, 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. - Has consulted as an expert witness on 11 cases since 2011, with 3 depositions since 2019. - Published author and experienced speaker. - Interests and skills include software engineering, clinical data modeling and standards, clinical decision support, interoperability, health information exchange, health I.T. regulations, intellectual property law, and teaching. - Full resume available at http://www.sujansky.com/images/Walter_Sujansky_CV.pdf - Expert witness refe...

Washington, District Of Columbia

Economics, Statistics - Lost wages, Antitrust, Class action, Lost profits, Breach of contract, Damages, Liability, Survey design, Conjoint analysis, Big data, Machine learning, Privileged consulting, Discrimination, Wrongful termination, Wrongful death, Industrial espionage, Fraud detection, Employment discrimination

Dr. Cross has over 20 years of experience as an economist and statistician in academia, government, and consulting. His consulting experience includes testifying as an expert in class-action litigations, antitrust matters, lost profits matters, and employment discrimination matters. Dr. Cross holds a Ph.D. from the University of Wisconsin. He previously taught in the Economics Department at Georgetown University, and has held visiting positions at Johns Hopkins University and the University of Melbourne. Dr. Cross’s experience includes: Being retained as an economic and statistical expert in litigation matters in both U.S. District courts and state courts. He has opined in antitrust, class action, employment discrimination, breach of contract and regulatory matters. Working on litigation matters involving antitrust issues, class certification, statistical sampling, survey design, conjoint analysis, health-care reimbursement, wage and hour cases, product liability, economic dama...

Naples, Florida

Fraud, Investigation - Data analytics, machine learning, fraud, financial crime, forensic accounting, securities fraud, complex investigations, asset investigations, investment due diligence, proxy contests, shareholder disputes, risk assessment for mergers and acquisitions, public records research, public corruption, AML

Investigations director and research consultant. Former national award-winning investigative reporter and private investigative agency owner with 20+ years of experience specializing in complex investigations, public records research, and data analytics. Leading edge data analytics skills including Python, Jupyter Labs, R Studio, Alteryx, Microsoft Access, ESRI, QGIS. Coursework in machine learning. Master of Science in Accountancy, CPA candidate. Licensed investigative agency (#A2700239). Have provided investigative work to Fortune 500 companies, hedge funds, private equity firms, venture capital funds, foundations, family offices, private companies, law firms, and accounting firms. Have supervised and conducted investigations in the Americas, Europe, Asia, Middle East, Africa and Australia. Assist clients with assessing risk for mergers and acquisitions, public, private, and cross-border. Conduct extensive investigations for investment due diligence, asset investigations, litiga...