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Isaac Ellmen

Observed name: Ellmen, Isaac
ORCID: 0000-0001-5556-2965
Observed ORCID: 0000-0001-5556-2965
OpenAlex ID: A5010968271
SARS-CoV-2 viral titer measurements in Ontario, Canada wastewaters throughout the COVID-19 pandemic
2024 · Patrick M. D’Aoust, Nada Hegazy, et al. · Scientific Data · 21
Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data
2024 · Steven G. Sutcliffe, Susanne A. Kraemer, et al. · Microbial Genomics · 20
Alcov: Estimating Variant of Concern Abundance from SARS-CoV-2 Wastewater Sequencing Data
2021 · Isaac Ellmen, Michael D.J. Lynch, et al. · medRxiv · 20
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Real-time evaluation of signal accuracy in wastewater surveillance of pathogens with high rates of mutation
2024 · Ocean Thakali, Élisabeth Mercier, et al. · Scientific Reports · 17
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A Novel Tiled Amplicon Sequencing Assay Targeting the Tomato Brown Rugose Fruit Virus (ToBRFV) Genome Reveals Widespread Distribution in Municipal Wastewater Treatment Systems in the Province of Ontario, Canada
2024 · Delaney Nash, Isaac Ellmen, et al. · Viruses · 14
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Reconstructing SARS-CoV-2 lineages from mixed wastewater sequencing data
2024 · Isaac Ellmen, Alyssa K. Overton, et al. · Scientific Reports · 9
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EpiGeoPop: a tool for developing spatially accurate country-level epidemiological models
2025 · Lara Herriott, Henriette L. Capel, et al. · Scientific Reports · 3
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LICHEN enables light-chain immunoglobulin sequence generation conditioned on the heavy chain and experimental needs
2026 · Henriette L. Capel, Isaac Ellmen, et al. · Communications Biology · 2
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The protein universe in 3D
2024 · Isaac Ellmen, Matthew I. J. Raybould, et al. · Nature Chemical Biology · 2
Modelling antibody structures at the speed of language
2026 · Isaac Ellmen, David Errington, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1
Correcting the Dropout-LayerNorm Expectation Gap Improves Protein Structure Models
2026 · Ellmen, Isaac, Errington, David, et al. · arXiv (Cornell University)
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Transformers trained on proteins can learn to attend to Euclidean distance
2025 · Ellmen, Isaac, Schneider, Constantin, et al. · arXiv (Cornell University)
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Works count: 18
Citation count: 111
H-index: 6
I10-index: 5
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