Robert Link
Scientist II, Computational Biology
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolRobert Link is a computational antibody engineer and Scientist II in Computational Biology based in Cambridge, MA with a decade of experience applying deep learning to viral genomics and antibody design. He earned a PhD in Computational Biology and has led projects that refine nanopore basecalling for HIV quasispecies detection, improving alignment accuracy over pretrained models and producing the HIV-Quasipore suite used on clinical isolates. His work spans sequence-based deep learning, CRISPR off-target analysis, and microbiome network inference, bridging rigorous computational methods with translational virology. Known for taking pretrained models into domain-specific performance gains, he combines academic rigor from Drexel and Leeds with industry-focused engineering at Metaphore Biotechnologies.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Drexel University School of Biomedical Engineering, Science and Health SystemsBachelor of Science (B.S.), Biochemistry || Philosophy minor, Bachelor of Science (B.S.), Biochemistry || Philosophy minor at Juniata CollegeUniversity of Leeds
Github Skills (12)
snakemake10
workflow-management9
journal6
sequencing4
deconvolution3
machine-learning3
simulate2
trace2
simulator2
assembly2
deep-learning1
pipeline1
Programming languages (4)
Github contributions (5)
DamLabResources/HIV-Quasipore-basecallers
Apr 2021 - Jun 2022
Contributions:13 commits, 11 pushes, 1 branch in 1 year 1 month
Linkrw12/pubmed-abstract-classifier-topic-refinement-and-modeling
May 2022 - Oct 2024
Contributions:3 pushes in 2 years 6 months
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