His research interests include machine learning, high-dimensional and big data statistics, Markov chain Monte Carlo, as well as interdisciplinary research in the fields of biomedical sciences and ...

Outlier Detection: Techniques used to identify observations that deviate markedly from an overall pattern in the data. High-Dimensional Data: Datasets characterised by a large number of variables ...

Advancing electrocatalyst discovery through the lens of data science: State of the art and perspectives. Journal of Catalysis, 2025; 447: 116162 DOI: 10.1016/j.jcat.2025.116162 ...

Because model selection is ubiquitous in data analysis, the reproducibility of statistical results requires that we be able to evaluate the reliability of the employed model selection method, ...

First and only real-time solution that aggregates and computes fraud-detection features for massive data volumes with 100% precision and reliability December 09, 2024 08:00 AM Eastern Standard Time ...

The first-quarter traffic performance of the four major U.S. carriers showed mixed results. While Delta Air Lines and United Airlines reported strong year-over-year (YOY) traffic growth, American ...

The FAA’s latest push to reduce high-risk airport surface occurrences is showing signs of paying off, the latest runway incursion data suggests. The agency classified seven incursions reported ...