Wesley Tansey, PhD, is a new Associate Attending in the Computational Oncology Service. Dr. Tansey’s research is at the intersection of statistics and computing, with a focus on principled machine learning methods motivated by problems in cancer biology and medicine. His lab develops new methods to address the data science challenges raised by emerging technologies, such as high-throughput screening and single-cell sequencing. Dr. Tansey has published articles in premier statistics journals and machine learning conferences on a wide range of methodological areas, ranging from graphical models and Bayesian statistics to deep learning. Dr. Tansey has a PhD in Computer Science from the University of Texas at Austin and has trained at Columbia University and Columbia University Medical Center. He is a co-organizer of the Workshop on Computational Biology at the International Conference on Machine Learning and a member of the editorial board of the Journal of Machine Learning Research.