Computer Science and Digital Forensics Examiner

Specialties & Experience of this Expert Witness

Additional Information

Mr. Sremack is a computer scientist and forensic examiner with over 20 years of experience providing services in data, software, and systems analysis. He specializes in matters requiring data analysis, source code examination, and IT system assessment. He is the leader of CBIZ’s Forensic Data Analytics and Technology practice and has been engaged in over 500 consulting matters that have spanned numerous industries, financial and trade regulatory bodies, state and federal courts, and over fifty countries. He routinely develops new software and technology solutions to develop solutions and to identify and remediate issues for his clients. He is the author of the book “Learning Big Data Forensics” and a regular speaker and author on subjects related to forensic data analysis and software analysis. His publications and research have been cited in hundreds of academic papers on subjects related to digital forensics and forensic data analysis. Areas of expertise include: • Forensic data collection (enterprise systems, cloud systems, social media) • Forensic data analysis and data science (use of algorithms, pattern detection, fraud analysis) • Source code and software system analysis (theft of trade secrets, use of open source code/licenses) • Artificial intelligence forensics (theft of IP, AI harm, model development) • Data privacy assessments (online tracking, data anonymization, unauthorized disclosure of PII/PHI) • Enterprise system investigations and failure analysis (authenticating timestamps, system controls validation, explaining system operations) His analysis of data and software is applicable to issues found in: • Class action certification • Software intellectual property disputes • Labor and employment litigation • Consumer privacy litigation relating to online tracking and PII/PHI issues • Artificial intelligence design and use • Commercial litigation involving large sets of data for fact development • Electronic discovery where large, complex data systems are potentially responsive • Neutral expert roles where questions are present relating to system operations and/or data accessibility