Machine Learning Expert Witnesses

Software Engineering, Computers - Telecommunications, wireless, Wi-Fi, wifi, Computer networking, Machine Learning, Neural networks, Deep learning, Smartphone, phone, smart TV, chromecast, Google TV, remote control, universal remote, Roku, Cloud computing, internet computing, web applications, HTML, HTTP, FTP Video streaming, CDN

Dr. Jonyer is an expert in networking, telecommunications, smart TVs, smartphones, machine learning, computer software, Internet, cloud, and web technologies. Areas of Expertise ------------------------ • Networking and Telecom: Mobile Wireless, Wi-Fi, Bluetooth, 3G, 4G, routers, TCP/IP, content delivery, CDN, edge caching. • Smart TV and Smartphones: Google TV, Chromecast, Roku, Android TV, YouTube TV, Apple TV, mobile apps, web apps. • Machine Learning, Artificial Intelligence: Data mining, neural networks, deep learning, social network analysis. • Software Analysis: Cloud, mobile, smartphone, web, Internet, applications. Expert Witness Experience -------------------- Praised for his communications skills, Dr. Jonyer is effective in deposition testimony, report writing, and attorney briefings. Dr. Jonyer has opined on cases involving patent infringement, IPR, trade secret misappropriation, and breach of contract. He has extensive expert witness experience in cases involving Goo...

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...

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

Phil 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 damages, ...

Technology - Machine Learning, Text Analytics, Predictive Models, Active Learning, Clustering, Data Science, Concept Searching, TAR, Technology Assisted Review, Brainspace

Software Engineering, Cryptocurrency - iPhone, iPad, iOS, Developer, Mobile Developer, Mobile Development, Swift, Objective-C, Apple, Applications, Startup, YCombinator, Cryptocurrency Mining, Ethereum, Bitcoin, Machine Learning, Artificial Intelligence, Smartphones, Source Code, App Store

Matthew Knippen has built over 60+ mobile applications, advising start-ups and companies in the Fortune 500. He has leading industry experience, building applications on the iPhone since before the App Store launched in 2008. As a programmer, CEO, and patented inventor, Matthew is a graduate of the Illinois Institute of Technology for Computer Science, as well as a graduate of the Winter 2021 Batch of YCombinator, the most prestigious start-up incubator on the planet Using Xcode, Objective-C and Swift, Matthew has advised top companies on how to improve their mobile applications. By directly analyzing the source code of the application, he can find and fix problems and bugs that many developers can miss. He's also built dozens of applications from scratch and published them on the Apple App Store. Having attended the Worldwide Developers Conference, the Game Developer's Conference, and numerous development boot camps, Matthew can be an expert witness on mobile applications, technol...

Software Engineering, Computers - AI, Data Science, Genomics, Information Technology, IoT, Life Sciences, Machine Learning, Management, Neuroscience, Operations, Statistics, Technology

My’ background spans science (neuroscience); engineering (bioengineering, code development); technology (neural nets, machine learning, robotics); and business (founder of a software startup in the ’90s and then head of clinical operations for the human health division at Merck). I held the role of Partner at Microsoft for the past decade, leading Program Management for Information Management and Machine Learning in the Cloud + Enterprise Division. At CZ Biohub, in collaboration with partners at the University of California, Berkeley; Stanford University; the University of California, San Francisco; and the Chan Zuckerberg Initiative, I built a world-class Data Science team. Now as CTO, along with CZ Biohub’s other technical Platform Leaders (Bioengineering, Computational Microscopy, Genomics, and Mass Spectrometry), I am helping to drive and support advances in bioinformatics, computational biology, image processing, and next-generation analytics. My career spans executive manage...