Carnegie Mellon University

Lane Fellows

Irene Kaplow

Advisor: Andreas Pfenning

Irene received her B.S. in Mathematics from the Massachusetts Institute of Technology in 2010. There, she was involved in developing methods for leveraging protein-protein interaction networks to select hits in RNAi datasets and leveraging conservation information to predict exonic splicing enhancers. She then went to graduate school at Stanford University, where she received her Ph.D. in Computer Science in 2017. At Stanford, she developed methods to analyze novel high-throughput sequencing datasets to better understand the roles of DNA methylation and Cys2-His2 zinc finger transcription factor binding in transcriptional regulation. Irene is interested in developing computational approaches to integrate biological datasets in ways that will provide a more detailed understanding of transcriptional regulation. She is especially interested in elucidating the biological mechanisms behind the differences in gene regulation between different cell types.

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Nam Nguyen

Advisor: Ziv Bar-Joseph

Nam D. Nguyen received his Ph.D. in Computer Science at Stony Brook University, under the guidance of Professor Daifeng Wang. His doctoral research includes multiview learning for integrating and understanding functional multiomics. He is especially interested in machine learning on graphs and manifolds, and their applications for understanding molecular mechanisms and improving genotype-phenotype predictions in complex biological systems. Prior to that, he received B.Eng. degree in Computer Science at Hanoi University of Science and Technology. Overall, his research interests include computational biology, machine learning and explainable AI.