Megan Le

Massachusetts Institute of Technology

Megan Le is a Ph.D. student in Computer Science at the Massachusetts Institute of Technology, where she is advised by Dr. Heng Li and Dr. Bonnie Berger. Her research focuses on developing new algorithms and tools for genome analysis, tackling fundamental problems in genome assembly, variant calling, and read alignment.

These core areas of computational genomics are essential for extracting meaningful insights from sequencing data. Previously, Megan worked on methods for analyzing ancient DNA data, demonstrating the breadth of her computational expertise. Beyond her research contributions, she maintains an active engagement with the arts and games, enjoying reading, playing bridge, and performing on the piano and oboe.

Conference

CSHL Genome Informatics 2025

Research Focus

• Genome assembly algorithms
• Variant calling methods
• Read alignment optimization
• Ancient DNA analysis
• Computational genomics
• Tool development
• Sequencing data analysis