Causal Inference Expert Witnesses

Causal inference 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 causal inference. The causal inference expert witness listings on this page are typically from fields/areas of expertise such as: Artificial Intelligence, Epidemiology, Internal Medicine, and Statistics.

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Aidan D Jensen, MBA

Data Science, AI, Statistics, Analysis of Big Data

Jensen Data Services

Rancho Cordova, California
Statistics, Artificial Intelligence - Data Modeling, Model Drift, Data Science Algorithms, Bias and Discrimination, Experimental Design, Time Series Forecasting, Data Visualization, Causal Inference, Outlier Detection, Bias Audits, Data Preprocessing, Bias and Discrimination in AI, Supervised Learning, Unsupervised Learning, Deep Learning, Rare-Event Prediction
Aidan Jensen is a Data Scientist and Statistical Consultant with over five years of experience working in healthcare technology startups. He specializes in evaluating the accuracy, reliability, and defensibility of data analyses, visualizations, and statistical claims. Mr. Jensen holds an MBA from Western Governors University and is a member of the American Statistical Association. Before pursuing his graduate studies, Mr. Jensen completed his undergraduate degree at the University of California, Santa Barbara, where he obtained a double major in Statistics and Data Science, as well as Economics. His technical skill set includes advanced proficiency in Python, R, and SQL, as well as expertise in statistical modeling, bias detection, causal inference, and experimental design. He has developed training materials and automated insight workflows to support executive decision-making and compliance-readiness for data-intensive organizations.
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Christopher M Worsham

Physician-epidemiologist | Harvard Faculty

Boston, Massachusetts
Epidemiology, Internal Medicine - public health, health policy, health economics, causal inference, econometrics, pulmonology, critical care, data analysis, insurance claims, health services, statistics, research, intensive care, hospital, causation, data science, outcomes, artificial intelligence
Dr. Christopher M. Worsham uses epidemiologic and econometric methods to perform large database research on causal associations, physician behavior, resource utilization, and health care policy as a faculty member of Harvard Medical School. He is also a practicing pulmonary and critical care physician at Massachusetts General Hospital and applies evidence-based medicine in his provision of health services and evaluation of scientific questions in health care settings. Dr. Worsham has particular research interest in the intensive care unit, for which he has received a career development grant award from the Agency for Healthcare Research in Quality. His research has been published in peer-reviewed journals including The New England Journal of Medicine, The BMJ, and JAMA Internal Medicine. An advocate of public education about medicine, health, statistics, epidemiology, and biomedical sciences, Dr. Worsham coauthored the book "Random Acts of Medicine" and has written for popular publi...