Author

Cole M Williams

Brown UniversityORCID 0000-0002-5888-5994Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:genome assembly· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Sohini RamachandraniD· 2 shared Brenna M. HenniD· 1 shared Brooke A. ScelzaiD· 1 shared Christopher R. GignouxiD· 1 shared Dana R. Al-Hindi· 1 shared Ethan M. LangeiD· 1 shared Harold R. Watson· 1 shared Kathleen C. BarnesiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Sohini RamachandranORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GeneticsbioRxivPreprintJun 19, 2026

From Nuisance to Signal: Leveraging Close Relatives in Biobank-Scale Demographic Inference

Cole M Williams, Sohini Ramachandran

This paper evaluates the impact of retaining close relatives on demographic inference using IBD-based methods and finds that retaining relatives reduces bias in Ne estimates.

DOI 10.64898/2026.06.15.729614

statistical modelsimulation

𝕏 PostBluesky

BioinformaticsGeneticsPeer-reviewedMay 20, 2025

A rapid, accurate approach to inferring pedigrees in endogamous populations

Cole M Williams, Brooke A. Scelza, Sarah Danielle Slack…·Brenna M. Henn

This paper introduces a rapid algorithm for pedigree inference in endogamous populations, accurately distinguishing relationships and handling reticulations.

23 citationstop 4%

humanwhole-genome sequencing

𝕏 PostBluesky