Scalable and Accurate Models of Molecular Evolution
Sebastian Prillo [2025]

Browsing in the Library of Babel: Leveraging Evolutionary Information to Improve Protein Modeling
Neil Thomas [2022]

Computational methods for regulating transcription and translation
Sanjit Batra [2022]

Scalable Machine Learning Algorithms for Biological Sequence Data
Jeffrey Chan [2021]

Computational Tools for Immune Repertoire Characterization and Primer Set Design
Jane Yu [2019]

Scalable Algorithms for Population Genomic Inference
Sara Sheehan [2015]

Scalable Statistical Methods for Ancestral Inference from Genomic Variation Data
Andrew Chan [2013]

Statistical, algorithmic, and robustness aspects of population demographic inference from genomic variation data
Anand Bhaskar [2013]

Conditional Sampling Distributions for Coalescent Models Incorporating Recombination
Joshua Paul [2012]

Algorithms for Next-Generation High-Throughput Sequencing Technologies
Wei-Chun Kao [2011]

Computational Methods for Meiotic Recombination Inference
Junming Yin [2010]