David W. Email & Phone Number
Who is David W.? Overview
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David W. is listed as Sr. Staff Bioinformatics Scientist at Twist Bioscience, a with 1136 employees, based in San Mateo, California, United States. AeroLeads shows a matched LinkedIn profile for David W..
David W. previously worked as Principal Bioinformatics Scientist at Integrated Dna Technologies and Senior Staff Bioinformatics Scientist at Integrated Dna Technologies. David W. holds Master Of Science (M.S.), Computer Science from Washington University In St. Louis.
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About David W.
Accomplished bioinformatics R&D scientist with over a decade of experience specializing in phase-gated genomics product development, single-cell product development, NGS data analysis, and employing deep learning in NGS panel development. Demonstrated success in driving innovation and collaborating effectively with cross-functional teams, including bench scientists, software and hardware engineers, as well as legal and marketing professionals.CORE COMPETENCIES• Extensive industry background in designing a diverse array of commercialized assays and tools for genomics research and diagnostics, encompassing NGS-based products, CRISPR Cas9 off-target prediction, qPCR-based gene expression, genotyping applications, protein detection, and single-cell analysis.• Demonstrated leadership in developing NGS data analysis frameworks, adeptly managing both local clusters and cloud computing platforms.• Proficiency in deep-learning neural networks (e.g., RNN, Transformer), machine learning techniques (e.g., SVM), data visualization, data mining, and information retrieval, highlighted through released products and publications in top-tier journals.• Comprehensive utilization of genomic public datasets, seamlessly integrating them into in-house NGS pipelines and assay design workflows. Proficient in various sequence analysis tools such as Bedtools, Samtools, Picard, BWA, GATK4, Vardict, and Freebayes, along with leveraging genomic databases like NCBI, ENSEMBL, COSMIC, and UCSC browser.• Fluent in programming languages including Python, Pytorch, R, and Jupyter Notebook (employing pandas, NumPy, and matplotlib), as well as database management systems like MySQL and MongoDB. Proficient in web development technologies such as Angular, Bootstrap, Node.JS, and HTML, with a robust command of Linux.• Substantial hands-on experience in molecular biology and microbiology, complementing computational expertise.• Skilled in effectively diagnosing and resolving application issues within specified timelines.• Notable track record of innovation and publication, boasting three patents and seventeen publications, including contributions to prestigious journals such as Science, Nature, Nature Biotechnology, and Nature Methods.
David W.'s current company
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David W. work experience
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Principal Bioinformatics Scientist
Pioneered the integration of advanced deep learning methods, including Transformer and pretrained genome Large Language Model (LLM), to drive innovation in NGS product development and enhance CRISPR off-target prediction capabilities.Led the bioinformatics team in developing a comprehensive cancer panel for tumor molecular profiling, facilitating the detection of SNV/Indel, TMB, MSI, CNV, HRD, Fusion, RNA Splice, and more.Investigated machine learning for oligo synthesis error prediction in synthetic biology.
Senior Staff Bioinformatics Scientist
Led the bioinformatics team at the Redwood site, concentrating on NGS product development. Spearheaded the creation of groundbreaking initiatives, such as the development of the next-generation hybridization capture probe design engine, xGenV3, utilizing deep-learning neural networks. Additionally, pioneered the creation of a one-tube enrichment solution for targeted amplicon sequencing, as well as an all-in-one GUI-based serverless computing solution on the AWS cloud.
Senior Staff Bioinformatics Scientist
Led the bioinformatics team in the development of multiple multiplex PCR-based NGS panels, such as the CFTR panel, solid tumor hotspot panel (52 genes), and pan-cancer panel (>400 genes). Focused efforts on content selection, assay design, and comprehensive data analysis.Developed innovative single-cell applications, including RNA/protein co-detection and immune cell profiling.
Staff Bioinformatics Scientist
Designed and implemented in-house DNA-Seq analysis pipelines to support the development of a range of DNA-Seq products, including targeted re-sequencing (Access Array) and single-cell DNA-Seq products (whole genome, whole exome, and targeted re-sequencing).Designed and implemented in-house RNA-Seq analysis pipelines to facilitate the development of various RNA-Seq products.Developed 1920 10-base barcodes for large-scale NGS screening, with 384 barcodes commercialized (PN 100-3770 I1) and the remaining 1500 barcodes validated by a third party at the University of London.Collaborated with R&D scientists and external partners to analyze mRNA-Seq data at single-cell resolution, resulting in publications in prestigious journals such as Nature Biotechnology and Nature.Developed an algorithm for error correction to accurately identify rare somatic mutations at the single-cell level, published in PLoS One.Designed functional assays for targeted re-sequencing and multiplex strategies for Genentech to enable high-throughput clinically relevant mutation detection, published in Clinical Cancer Research.Designed and implemented the Singular™ Analysis Toolset, an innovative, open-source R package for analyzing and visualizing gene expression data and mutation data at the single-cell level.Designed and implemented genomic assay design pipelines at Fluidigm for targeted re-sequencing (Access Array, PN 100-4189) and GTpipe for designing low-cost genotyping assays for genetic variant screening (SNPtype assay, PN 100-3464; US patent of 20150147755).Designed and developed a proprietary novel protein detection assay system using oligonucleotide extension reaction (OER) for multiplex protein detection by qPCR in single cells, published in Bioconjugate Chemistry.Contributed to a pioneer project using transposons to barcode single-cell genomes and conduct digital copy number variation (CNV) analysis, resulting in a US patent (2015032066).
Staff Bioinformatics Scientist
Developed and implemented a pipeline for designing SybrGreen and TaqMan real-time PCR assays to detect genome-wide DNA Methylation.Developed a Genplex pipeline for multiplexed SNP genotyping analysis.Played a pivotal role in providing bioinformatics support for all miRNA product lines at ABI, including individual miRNA TaqMan assays and TaqMan arrays. Responsibilities included assay design, database maintenance, updates, and troubleshooting.Designed, developed, and constructed infrastructure for the AB castPCR project aimed at detecting rare cancer mutations.Collaborated with R&D scientists to analyze NGS data, resulting in publications in prestigious journals such as Nature Methods (2009) and Cell Stem Cell (2010).
Senior Bioinformatics Scientist
Developed the Ambion SilencerSelect siRNA product, pioneering the creation of a support vector machines (SVM) classifier for the selection of hyper-functional siRNAs (NAR 2009).Devised and executed a computational strategy to produce functional library panels for Ambion siRNAs.Conducted data analysis of non-coding small RNA from the ABI ultra-high-throughput sequencing platform SOLiD, as reported in Genome Biology (2011).Led the design and implementation of computational algorithms and pipelines for the generation of Ambion miRNA products, including mirVana miRNA AntimiR, PremiR, and Bioarrays.Developed a computational algorithm for systematically identifying microRNA functions by integrating target prediction and expression profiling (NAR 2006).Innovated a novel computational design strategy for RT primers aimed at amplifying the whole transcriptome while minimizing cDNA products derived from rRNA, leading to a US Patent (20110257039).
Research Associate At David Beebe'S Lab
Explored the expression and regulation patterns of crystallins in mammalian lens epithelial cells.Conducted analysis of microarray data to discern the crucial factors contributing to lens cataract development.Integrated expression profiling with a computational algorithm to forecast and pinpoint co-motifs within genes.
Research Associate
Investigated the penicillin resistance mechanism of Streptococcus pneumoniae.Analyzed DNA sequences and clinical data to identify biomarkers within drug-resistant genes and developed probes for use in microarrays to detect antibiotic resistance genes.
Research Associate
Researched the adhesion gene and urease gene of Ureaplasma urealyticum.Pioneered a novel method to fabricate a genus-specific probe for Listeria species utilizing randomly amplified polymorphic DNA (RAPD).
Colleagues at Twist Bioscience
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Álvaro Brange
Colleague at Twist BioscienceSan Francisco, California, United States
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Maxwell Stefan
Colleague at Twist BioscienceSan Mateo, California, United States
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Elice Brooks
Colleague at Twist BioscienceColchester, Vermont, United States
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Edward Lee
Colleague at Twist BioscienceSouth San Francisco, California, United States
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Amin Mansoorifar
Colleague at Twist BiosciencePortland, Oregon Metropolitan Area, United States
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Emily Leproust
Colleague at Twist BioscienceBig Sky Meadow Village, Montana, United States
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Rosalind Lyon
Colleague at Twist BiosciencePortland, Oregon, United States
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Andrew Doucette
Colleague at Twist BioscienceNewton Centre, Massachusetts, United States
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Aviral Dubey
Colleague at Twist BioscienceUnited States
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Vincent Pediapco
Colleague at Twist BioscienceSan Francisco, California, United States
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David W. education
Master Of Science (M.S.), Computer Science
Master Of Science (M.S.), Microbiology, & Molecular Biology
Frequently asked questions about David W.
Quick answers generated from the profile data available on this page.
What company does David W. work for?
David W. works for Twist Bioscience.
What is David W.'s role at Twist Bioscience?
David W. is listed as Sr. Staff Bioinformatics Scientist at Twist Bioscience.
Where is David W. based?
David W. is based in San Mateo, California, United States while working with Twist Bioscience.
What companies has David W. worked for?
David W. has worked for Twist Bioscience, Integrated Dna Technologies, Fluidigm Corporation, Life Technologies, and Ambion.
Who are David W.'s colleagues at Twist Bioscience?
David W.'s colleagues at Twist Bioscience include Álvaro Brange, Maxwell Stefan, Elice Brooks, Edward Lee, and Amin Mansoorifar.
How can I contact David W.?
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What schools did David W. attend?
David W. holds Master Of Science (M.S.), Computer Science from Washington University In St. Louis.
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