Model Drift Expert Witnesses

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.