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ABOUT ME

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Hello!
I am
Gerben P. Voshol

I am a scientist, programmer and the creator of <Better Learn to Code>.

 

BIO

2015/01 - Ph.D. in Molecular Microbiology and Biotechnology (Leiden University, the Netherlands)

2015-2019 - PostDoc position at Leiden University

2019-2021 - Head of Bioinformatics and IT (Ginkgo Bioworks NL, formerly Dutch DNA Biotech B.V.)

2022 - present - Manager Bio-IT (GenomeScan)

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MY PROJECTS

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I have worked and continue working on a wide range of projects in the field of Biotechnology and Biomedical research. Over the last 10+ years, I specialized in microbial strain engineering, developing approaches to create bacteria and fungi with enhanced beneficial properties. For instance: increased protein production, enhanced fermentation phenotypes, improved biofuel precursors production, etc.  Particular efforts were placed on genome mining for novel enzymes, for example with application in food industry, and analyzing and interpreting complex data using neural networks, machine learning and other data science tools. Prior to that, I focused on the genetics of invasive plant species and elucidation of the molecular mechanisms behind biological control.

 

Currently, I guide bioinformatics projects in a company that provides world-wide service solutions for pharma, biotech and research. Human genetics, cancer diagnostics, biosafety testing are my key focus areas, where I employ the growing power of computer science to drive breakthroughs and turn ideas into practical, life-changing solutions.

 

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ABOUT <BETTER LEARN TO CODE>

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We as scientists have to learn new tools and technologies all the time. As biological research is becoming increasingly complex and a massive amount of OMICS data is being produced, there is an obvious need for professionals with relevant skills. With <Better Learn To Code>, I aim to help life scientists pick up the essential bioinformatics and data science skills to face these challenges with confidence using industrially relevant tools and practices.

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Learning how to program and analyze your data means you will get better at your research and can develop more innovative products and services. Here I share various learning resources, including books, tutorials and tools, built on my years of experience in both industry and academia. I believe that these resources will help you to acquire new expertise and drive your career forward.

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If you like the concept of <Better Learn to Code>, please support this cause by donating. Also feel free to contact me if you have any questions, suggestions or would like to discuss possibilities for collaboration.

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YOUR CONTRIBUTION
IS ESSENTIAL

Please support <Better Learn to Code>  so that MORE FREE bioinformatics and data science resources such as software tools, e-books and tutorials can be developed and hosted for your unlimited use. It is easy, secure and will take only  a  minute  of  your  time.

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