activity
20222026
most citedLeaping through tree space: continuous phylogenetic inference for rooted and unrooted trees

7 citations · 17 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DM2026

A Compact Weight-Space Integer Programming Formulation for Balanced Minimum Evolution

Leonid Chindelevitch, Matthew Penn, Samir Bhatt

Balanced Minimum Evolution (BME) reconstructs an unrooted binary phylogenetic tree from a distance matrix by minimizing the length , which is linear in…

q-bio.PE2025

Phylogenetics in a warm place: computational aspects of the Tropical Grassmannian

Samir Bhatt, John Sabol, Papri Dey +3

Phylogenetic trees provide a fundamental representation of evolutionary relationships, yet the combinatorial explosion of possible tree topologies renders inference computationally…

stat.AP2025

Dynamic Graph-Based Forecasts of Bookmakers' Odds in Professional Tennis

Matthew J Penn, Jed Michael, Samir Bhatt

Bookmakers' odds consistently provide one of the most accurate methods for predicting the results of professional tennis matches. However, these odds usually only become available…

q-bio.PE2025★ 1 cited

phylo2vec: a library for vector-based phylogenetic tree manipulation

Neil Scheidwasser, Ayush Nag, Matthew J Penn +6

Phylogenetics is a fundamental component of evolutionary analysis frameworks in biology and linguistics. Recently, the advent of large-scale genomics and the SARS-CoV-2 pandemic ha…

q-bio.PE2025

Generalised Bayesian distance-based phylogenetics for the genomics era

Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana +3

As whole genomes become widely available, maximum likelihood and Bayesian phylogenetic methods are demonstrating their limits in meeting the escalating computational demands. Conve…

cs.CV2023★ 1 cited

Continuous football player tracking from discrete broadcast data

Matthew J. Penn, Christl A. Donnelly, Samir Bhatt

Player tracking data remains out of reach for many professional football teams as their video feeds are not sufficiently high quality for computer vision technologies to be used. T…

q-bio.PE2023★ 7 cited

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees

Matthew J Penn, Neil Scheidwasser, Joseph Penn +3

Phylogenetics is now fundamental in life sciences, providing insights into the earliest branches of life and the origins and spread of epidemics. However, finding suitable phylogen…

q-bio.PE2023★ 7 cited

Phylo2Vec: a vector representation for binary trees

Matthew J Penn, Neil Scheidwasser, Mark P Khurana +3

Binary phylogenetic trees inferred from biological data are central to understanding the shared history among evolutionary units. However, inferring the placement of latent nodes i…

q-bio.PE2022★ 1 cited

Intrinsic Randomness in Epidemic Modelling Beyond Statistical Uncertainty

Matthew J. Penn, Daniel J. Laydon, Joseph Penn +7

Uncertainty can be classified as either aleatoric (intrinsic randomness) or epistemic (imperfect knowledge of parameters). The majority of frameworks assessing infectious disease r…