Funda Güneş
Sr. Machine Learning Developer

Funda researches and implements new data mining and machine learning approaches for SAS. Her experience and research interests include combining well-established statistical methods with algorithm-based models, assessment and validation of machine learning models, efficient feature engineering techniques, regularization in machine learning algorithms, stacked ensemble models, and Bayesian statistical modeling. Through her work at SAS, she has given expository talks on new machine learning and data science techniques both internally and externally at major machine learning conferences, written technical papers and blog posts, and created short videos. In addition to machine learning, she is also an experienced statistician in clinical trials, survival analysis, mixed models, and longitudinal data analysis. Funda has a PhD in Statistics from North Carolina State University.