Area of research
Molecular Biology · Paleontology
Research interest
Research interests include Genomics and Phylogenetic Studies, Evolution and Paleontology Studies, and Genome Rearrangement Algorithms.
Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.
Rate variation and recurrent sequence errors in pandemic-scale phylogenetics.
IQ-TREE 3: Phylogenomic Inference Software using Complex Evolutionary Models.
Modeling Site-Specific Mutation Patterns in Pandemic-Scale Phylogenetics
Assessing phylogenetic confidence at pandemic scales.
Detecting Interspecific Positive Selection Using Convolutional Neural Networks.
Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.
Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny
SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method.
SWAMPy: simulating SARS-CoV-2 wastewater amplicon metagenomes.
Rate variation and recurrent sequence errors in pandemic-scale phylogenetics
Detecting interspecific positive selection using convolutional neural networks
Highly recurrent multi-nucleotide mutations in SARS-CoV-2
Maximum likelihood pandemic-scale phylogenetics.
Impact and mitigation of sampling bias to determine viral spread: Evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations.
Online Phylogenetics with matOptimize Produces Equivalent Trees and is Dramatically More Efficient for Large SARS-CoV-2 Phylogenies than de novo and Maximum-Likelihood Implementations.
SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine learning method
phastSim: Efficient simulation of sequence evolution for pandemic-scale datasets.
Impact and mitigation of sampling bias to determine viral spread: evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations
SWAMPy: Simulating SARS-CoV-2 Wastewater Amplicon Metagenomes with Python
Sampling bias and model choice in continuous phylogeography: Getting lost on a random walk.
Short-range template switching in great ape genomes explored using pair hidden Markov models.
Genomic reconstruction of the SARS-CoV-2 epidemic in England
phastSim: efficient simulation of sequence evolution for pandemic-scale datasets
Using host genetics to infer the global spread and evolutionary history of HCV subtype 3a.
The SARS-CoV-2 replication-transcription complex is a priority target for broad-spectrum pan-coronavirus drugs
Stability of SARS-CoV-2 phylogenies.
Genomic diversity affects the accuracy of bacterial single-nucleotide polymorphism-calling pipelines.
Sampling bias and model choice in continuous phylogeography: getting lost on a random walk
Short-range template switching in great ape genomes explored using a pair hidden Markov model