Paul Tang
Co-founder at AccuraGen
- Role
- Co-founder at AccuraGen
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Paul Tang
Dr Tang co-founded AccuraGen in 2013, together with a group of fellow scientists in the Bay area, to improve rare allele detection in circulating cell-free DNA. Prior to embarking on this venture, Dr Tang was a technical lead at the Genomics Core Facility at University of California, San Francisco (UCSF), where he contributed to an early foundation of Genomics Medicine Initiative at UCSF, led by Dr Bob Nussbaum. From 20••••13, when he was a postdoc at Dr Pui-Yan Kwok lab at UCSF, he has co-authored more than 10 peer reviewed papers in reputed journals, utilizing a variety of genomic technologies to understand different human diseases. Dr Tang holds a B.S. in Bioinformatics and Ph.D. in Genetics from the University of Hong Kong.
Experience
Co-founder
Oct 2013 — Present · San Jose, CA, US
Initiated business development efforts with potential partners · Scout for competitor products and their activities, maintain detailed internal knowledgebase of market environment of the Diagnostic and Sequencing industry (competition, regulatory, reimbursement and medical/clinical environments); · Led technology improvement activities for existing and future products through collaborations with external partners· Support reagent manufacturing by coordinating material supply chain; · Analyze and prepare market models for current and future product development plans· Led Study design and organization of clinical sample collection for validating current/future products
Education
The University of Hong Kong
PhD, Genetics
2005 — 2010
The University of Hong Kong
Bachelor of Science (BSc), Bioinformatics
2002 — 2005
Skills
- Creative Problem Solving
- Assay Development
- Rnaseq
- Python
- Lims
- Sequence Analysis
- Qpcr
- Chip-Seq
- Molecular Biology
- Cell Culture
- Bioinformatics
- Sequencing
- Ngs
- Genome Sequencing
- Molecular Cloning
- Animal Models
- Biochemistry
- Dna Sequencing
- Microarray Analysis
- Computational Biology
- Genomics
- Genetics
- Immunoprecipitation
- R
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