Author

Andrew Chan

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Assay:GWAS summary statistics· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Benedikt AsbachiD· 2 shared George CarnelliD· 2 shared Jonathan Luke HeeneyiD· 2 shared Linke LiiD· 2 shared Pradeep NatarajaniD· 2 shared Rebecca Kinsley· 2 shared Simon D. W. FrostiD· 2 shared Sneha B SujitiD· 2 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersImmunology

Benedikt AsbachORCID

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Author profile →

5 papers

Recent·Most cited

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

Linke Li, Ahmed Alaa, Youxin Tan, İlker Demirel, Sam Freesun Friedman, Qiayi Zha, Russell P. Tracy, Kent D. Taylor, Bing Yu, Christie Mitchell Ballantyne, Rajat Deo, Ruth F. Dubin, Michael Y. Tsai, Gina Marie Peloso, Jennifer A. Brody, , Zhi Yu

This paper develops a machine learning framework to impute cross-platform proteomic data, improving replication of epidemiological findings and protein quality scoring.

bioRxiv · May 9, 2026 · PreprintBioinformatics

Evaluating Individual Level Performance of Polygenic Risk Scores Using Early Onset High Genetic Risk Coronary Artery Disease as a Benchmark

梁圣心, M Kim, Yang Sui, Youxin Tan, Linke Li, So Mi Jemma Cho, Satoshi Koyama, Yixuan Liu, Kaavya Paruchuri, Andrew Chan, Michael C. Honigberg, Pradeep Natarajan, Nilanjan Chatterjee, Akl C. Fahed, Zhi Yu

The paper evaluates individual-level performance of polygenic risk scores (PRSs) using a benchmark cohort of early-onset coronary artery disease patients, showing variability in PRS accuracy and highlighting the need for individual-level validation.

medRxiv · Apr 18, 2026 · PreprintGenetic & Genomic Medicine

Simultaneous broad protection against Ebola Sudan, Marburg and Lassa viruses conferred by a DNA primed MVA-vectored multivalent vaccine

Darwyn Kobasa, Martina Pfranger, Nina Krause, Sofiya Fedosyuk, Lara Wiegand, Ingo Jordan, Volker Sandig, Christina Leupold, Benedikt Asbach, Daniel M. L. Storisteanu, Anja Kalender, Lara Scheer, David Brenner, Jérémie Prévost, Nikesh Tailor, , Jonathan Luke Heeney

bioRxiv · Mar 20, 2026 · PreprintImmunology

Immunogenicity and Efficacy of Digitally Immune Optimised H1N1 Vaccine Candidates in Swine and Murine Animal Models

Joanne Marie M. Del Rosario, Pauline M. van Diemen, Simon D. W. Frost, Sneha Vishwanath, Sneha B Sujit, Sruthika K. Ashokan, Benjamin C. Mollett, Andrew M. Ramsay, Benjamin Scott S Simpson, Benedikt Asbach, George Carnell, Andrew Chan, Paul Tonks, Nigel James Temperton, Matthew Davies, , Jonathan Luke Heeney

This paper demonstrates the immunogenicity and efficacy of a computationally designed DNA vaccine against H1N1 influenza in swine and mice, showing broad neutralizing antibody responses and reduced viral shedding.

bioRxiv · Sep 12, 2025 · PreprintImmunology

CINner: modeling and simulation of chromosomal instability in cancer at single-cell resolution

Khanh Ngoc Dinh, Ignacio Vázquez-Garćıa, Andrew Chan, R. Malhotra, Adam C. Weiner, Andrew McPherson, Simon Tavaré

CINner models chromosomal instability in cancer, showing how selection parameters and WGD influence tumor progression and heterogeneity.

PLoS Computational Biology · Apr 3, 2025Peer-reviewedGenomics