Data Analysis Expert Witnesses

Laguna Beach, California

Epidemiology, Public Health - Biostatistics, Statistics, Causality, Study Design, Model Evaluation, Malpractice, Toxic Torts, Patent Disputes, Covid-19, Statistical Models, Data Analysis

Sarasota, Florida

Life Care Planning, Medical Management - Rehabilitation, Orthopedic, Catastrophic /Complex/Chronic Disease, Developmental Disability, Adult, Pediatric, Workers Comp, Liability, Data Analysis, Medical File Review, Bill Review, Medical Cost Projections, Medicare Secondary Payer, Case Management, Disputes, Denials, Appeals, Nurse Consulting

Seasoned, results-oriented, and versatile clinician and former insurance executive; offering extensive experience in Life Care Planning, Expert Testimony, leadership and all facets of complex medical claims integrating technology, evidenced-based clinical and technical processes, quality assurance, and case management, Possesses articulate communication skills, both verbal and written. Entrepreneur/ Innovator at the Intersection of Healthcare, Insurance and Technology, InsurTech/ HealthTech REGISTERED NURSE (RN) – STATE OF FLORIDA CERTIFIED REHABILITATION REGISTERED NURSE (CRRN) CERTIFIED CASE MANAGER (CCM) CERTIFIED LIFE CARE PLANNER (CLCP) MEDICARE SET ASIDE CONSULTANT CERTIFIED (MSCC) Sigma Theta Tau International Nurses Honor Society (STTI) International Association of Rehabilitation Professionals (IARP) Case Management Society of America (CMSA) Association of Rehabilitation Nurses (ARN), Health Policy Committee Member National Association of Professional Women—2013 Profess...

Monroe, Michigan

Statistics, Automotive Engineering - Sampling, Statistical Analysis, Data Analysis, Reliability, Warranty Analysis, Regression, Categorical Data Analysis, Forecasting, Modeling, Quality, Statistical Process Control, Process Capability, Mathematical Statistics, Probability, Automotive Warranty, Supplier Quality

Dr. Capser is an expert witness in areas of statistical and reliability methods. His focus is on product and process quality, reliability, warranty, and product risk assessments. Areas of interest include, but are not limited to, statistical inference, statistical modeling and regression, categorical data analysis and logistic regression, survival analysis, component and system reliability analysis, warranty analysis, customer usage analysis and profiling, reliability modeling and simulation, probabilistic assessment of ‘at-risk’ failures, process capability, statistical process control, forecasting, and sampling. Education: - Doctor of Philosophy in Engineering, University of Toledo (Ohio) - Master of Science in Statistics, University of Toledo (Ohio) - Master of Science in Industrial and Systems Engineering, University of Michigan (Dearborn) - Master of Science in Mechanical Engineering, University of Toledo (Ohio) Licenses / Certifications: - ASA Accredited Professional St...

Brooklyn, New York

Statistics - statistics, statistical sampling, data analysis, predictive modeling, statistical estimates, unbiased estimation, fraud detection, large databases

Alan Salzberg is Senior Statistician and Principal of Salt Hill. His focus is statistical analysis, sampling, estimation, and modeling, especially using large or complex datasets. Many of Dr. Salzberg's consulting projects and research papers have related to the detection and measurement of bias. He has testified as an expert witness in statistics in federal and state court on multiple occasions. Prior to joining Salt Hill, Alan was CEO of Analysis & Inference. He has also held positions in KPMG’s Economic Consulting group and at Morgan Stanley. Dr. Salzberg holds a Ph.D. in Statistics from the Wharton School of the University of Pennsylvania, where he also received a Bachelor of Science in Economics.

New York, New York

Technology, Software Engineering - data analysis, data science, source code analysis, version control, data acquisition, class action certification, GIS and geospatial data, wage and hour analysis, systems controls, biometric data, online trackers, consumer privacy, Python, C++, Java, Javascript, C#, AI, artificial intelligence

Joe Sremack is a forensic data and software analyst with over 20 years of experience examining technology and business operations. He has conducted analysis in numerous high-profile cases and investigations, including the Bernie Madoff and Allen Stanford Ponzi schemes. Mr. Sremack applies his expertise to address complex issues involving the collection, analysis, and reporting of large, complex data and the design and use of software. Mr. Sremack performs complex data analysis, system and business process analysis, complex data identification and management, data-intensive business process failure and underperformance issues, internal and government investigations, litigation, and regulatory compliance implementation and response. He develops software and assesses source code in numerous programming languages and performs data extraction and analysis involving virtually every major enterprise data system, including various ERPs and cloud-based data services. His analysis of data ...

Venango, Pennsylvania

Accident Reconstruction - Light Trucks, Passenger Vehicles, Pedestrian/Bicycle, Motorcycle Reconstruction, Crash Data Retrieval, Data Analysis, Occupant Injury Kinematics, Time distance, drag factor with use of Vericom Vehicle Computer and V-Box Systems, Traffic Studies and scene reproduction with FARO Zone 3D and Reality

Actar Certification 2054. 25 years crash investigation experience with the Pennslyvania State Police, retired April 2010 as a full-time Collision Analysis and Reconstruction Specialist with the rank of Corporal. I was responsible for 3373 square miles & over 470,000 residents of North-West PA. Qualified as an expert witness in Crash Reconstruction at various levels from Depositons to Homicides 50+ times since 1990. Owner and Reconstruction Specialist for 4CA Consulting & Reconstruction LLC, 2009 to present. Member in good standing of numerous professional crash organizations. Certified in the Operation of the Bosch Crash Data Retrieval System and current to latest version and vehicle model year. Tesla EDR System to available May 2018. Scene documentation is provide by the use of digital photographs as well as the use of a Leica MS50 Scanning Multi-Station. The data collected with the MS50 is then used to reproduce acurate scene diagrams, animations and simulations to clea...