Sean Boyle Email and Phone Number
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I currently work at Personalis, where I lead our bioinformatics science efforts, focusing on developing computational solutions to analyze cancer samples using next-generation sequencing technology. My team’s work includes determining appropriate sequencing protocols, designing and developing novel immuno-oncology tools, and profiling/interpreting cancer patient samples. I previously worked in personalized genomic medicine at Stanford University where I identified causal genomic variants for diseases in individuals and families, including cancer and rare mendelian disease.Specialties: Personalized genomic medicine, cancer genomic interpretation, whole-genome sequencing, exome sequencing, RNA-seq, personal genome annotation, genomic variant-drug associations, cancer gene driver identification, ligand prediction, chemical structure analysis, insect and mammalian olfaction, neuroscience, protein-protein interactions, human diseases, image analysis.
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Vice President, Scientific Research And ApplicationsPersonalis, Inc. May 2023 - PresentFremont, California, UsI lead a department focused on technology development and application at Personalis, which focuses novel and cutting-edge cancer and liquid biopsy solutions. Areas of expertise include identifying and developing both DNA, RNA, and ctDNA applications for clinical diagnostics, neoantigen detection, characterization of immuno-modulators/biomarkers for immunotherapy, and profiling the tumor microenvironment.
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Executive Director, Bioinformatics SciencePersonalis, Inc. Jul 2021 - May 2023Fremont, California, UsI lead bioinformatics science development at Personalis, which focuses novel and cutting-edge cancer and immuno-oncology solutions.
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Senior Director, Bioinformatics ApplicationsPersonalis, Inc. Apr 2019 - Jun 2021Fremont, California, UsI lead bioinformatics applications development at Personalis, which focuses novel and cutting-edge cancer and immuno-oncology solutions.
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Director, Bioinformatics ApplicationsPersonalis, Inc. Apr 2017 - Apr 2019Fremont, California, UsI lead bioinformatics applications development at Personalis, which focuses novel and cutting-edge cancer and immuno-oncology solutions.
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Manager, Bioinformatics ApplicationsPersonalis, Inc. Jun 2016 - Mar 2017Fremont, California, UsAt Personalis I lead a team in development of novel and cutting-edge cancer and immuno-oncology products. Areas of expertise include identifying and developing both DNA, RNA, and ctDNA applications for clinical diagnostics, neoantigen detection, characterization of immuno-modulators/biomarkers for immunotherapy, and profiling the tumor microenvironment.
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Bioinformatics Scientist 4: Technical LeadPersonalis, Inc. Jan 2016 - Jun 2016Fremont, California, UsAt Personalis I manage and execute projects involving the design and development of RNA and DNA analysis pipelines. My work aims to improve genomic sequencing, annotation, and interpretation of cancer samples. We integrate cutting-edge approaches to extract the most important information for research and clinical use.
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Bioinformatics ScientistPersonalis, Inc. Feb 2014 - Jan 2016Fremont, California, UsAt Personals I focus on designing systems to improve genomic sequencing, annotation, and interpretation of tumor samples, integrating a large number of analysis approaches to extract the most important information for research and clinical uses.
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Co-Founder And AdvisorSensorygen Oct 2014 - PresentSouth Pasadena, Ca, UsChemical informatics and neuroscience developments have lead to major advancements in olfactory based insect behavior modification. My graduate research involved identification and development of safe, effective, and broad spectrum natural compound insect repellents which are applicable to personal protection and agricultural use. At Sensorygen I am involved with research and development of new and existing products. -
Postdoctoral ResearcherStanford University 2012 - 2014Stanford, Ca, UsGenome sequencing is being increasingly applied in disease research, including both inherited diseases and cancers. The power of population-based studies has been harnessed to identify single nucleotide polymorphisms and structural variants that are closely associated with disease state. Personal genome interpretation is the next step in merging these developments into individual diagnosis and treatment. Towards this aim, I am applying cutting-edge technologies to bring this knowledge to the individual patient, including application of approaches to annotate drug-variant associations, identify rare disease associated variants, and determine accumulated disease risks. The result is a personalized framework built using the foundation of population-level knowledge. I apply this approach to annotate both inherited disease and cancer patient genomes. -
Doctoral CandidateUniversity Of California, Riverside 2007 - 2012Riverside, Ca, UsWe have devised a method to identify optimal subsets of molecular descriptors for individual odor receptors from Drosophila. Using these molecular descriptors, we have computationally screened a large chemical space (virtual library of >243,000 compounds) to predict ligands for each of a large set of Drosophila receptors. Using single unit electrophysiology we have validated that our computational ligand prediction method has 75% success rates at predicting ligands (from out of ~243,000 compounds). Along with our high accuracy, the functional electrophysiology assay reveals that our method is also able to identify both agonists and antagonists for individual odor receptors. -
Associate Instructor And ResearcherIndiana University Bloomington Aug 2005 - May 2007Bloomington, Indiana, UsWe designed an algorithm for detecting gene-disease associations based on the human protein-protein interaction network, known gene-disease associations, protein sequence, and protein functional information at the molecular level. We trained support vector machines to detect gene-disease associations for a number of terms in a Disease Ontology and provided evidence that, despite the noise/incompleteness of experimental data and unfinished ontology of diseases, identification of candidate genes can be successful even when a large number of candidate disease terms are predicted on simultaneously -
InternEli Lilly Jun 2006 - Aug 2006Indianapolis, Indiana, UsI designed and implemented an automated image analysis algorithm for the identification of neuronal necrosis in rat hippocampus sections. Using Matlab and it's associated image processing and neural network toolboxes, I created a user friendly tools which first identifies the cornu ammonis 1-4 and dentate gyrus of the hippocampus from imaged brain tissue and then automatically quantifies neuronal necrosis in these sections.
Sean Boyle Skills
Sean Boyle Education Details
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Stanford UniversityPersonalized Genomic Medicine -
University Of California, RiversideGenetics
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Indiana University BloomingtonBioinformatics
Frequently Asked Questions about Sean Boyle
What company does Sean Boyle work for?
Sean Boyle works for Personalis, Inc.
What is Sean Boyle's role at the current company?
Sean Boyle's current role is Vice President, Scientific Research and Applications at Personalis, Inc..
What is Sean Boyle's email address?
Sean Boyle's email address is sb****@****ucr.edu
What is Sean Boyle's direct phone number?
Sean Boyle's direct phone number is +165075*****
What schools did Sean Boyle attend?
Sean Boyle attended Stanford University, University Of California, Riverside, Indiana University Bloomington.
What are some of Sean Boyle's interests?
Sean Boyle has interest in Whole Genome Sequencing, Ligand Prediction, Bioinformatics, Exome Sequencing, Personalized Medicine, Chemical Informatics, Rna Seq.
What skills is Sean Boyle known for?
Sean Boyle has skills like Bioinformatics, Molecular Biology, Computational Biology, Neuroscience, Rnaseq, Genetics, Dna Sequencing, Sequence Analysis, Biochemistry, Personalized Medicine, Biotechnology, Protein Protein Interactions.
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