Jason Chin Email & Phone Number
@pathos.com
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Who is Jason Chin? Overview
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Jason Chin is listed as VP, AI and Algorithm Development at Pathos, a with 88 employees, based in San Leandro, California, United States. AeroLeads shows a work email signal at pathos.com and a matched LinkedIn profile for Jason Chin.
Jason Chin previously worked as Principal at Omicsight and Founder, Foundation of Biological Data Sciences at Foundation Of Biological Data Sciences. Jason Chin holds Phd, Physics from University Of Washington.
Email format at Pathos
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About Jason Chin
As the VP of Genomic Technology and Algorithm at GeneDx, I lead the research developing cutting-edge solutions for genomic analysis and diagnosis. With over 10 years of experience in the biotechnology industry, I have a strong background in bioinformatics, systems biology, and data science.I am passionate about applying artificial intelligence and machine learning to genomics and other scientific application, and I have contributed to multiple publications in prestigious journals such as Nature and Nature Biotechnology. At my previous role as the Senior Director of Research and Deep Learning in Genomics at DNAnexus, I established a new research team and demonstrated cloud-based applications for genome-wide association studies (GWAS) and image processing using the UK Biobank dataset. I also developed a novel machine learning method for converting binary traits to quantitative traits to boost statistical power for GWAS. My mission is to leverage the power of cloud computing and AI to advance genomic medicine and improve human health.
Listed skills include Bioinformatics, Genomics, Computational Biology, Genetics, and 20 others.
Jason Chin's current company
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Jason Chin work experience
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Principal
CurrentProvide genomics and AI consulting service. Independent Scientific Researcher, Software and Application Developer.
Founder, Foundation Of Biological Data Sciences
Current
Vp, Genomic Technology And Algorithm
• Led algorithm and software development initiatives for genomics and phenotypic datasets, optimizing for scalability and efficiency.• Authored pioneering software for high-performance human pangenome visualization and analysis with novel algorithms, published in Nature Methods.• Evaluated AWS Omics and Parallel Cluster for automation. • Developed a machine learning approach for genomics variants calling for reducing operational costs.• Created a Retrieval Augmented Generation Chat Bot employing LLM (chatGPT / Mistral 7B) for streamlined gene review processes.
Sr. Director, Research & Deep Learning In Genomics
Establish a new research team for work in Genomics, Data Science, Artificial Intelligence/Machine Learning applications on DNAnexus core cloud computing platform.Lead the research team to demonstrate cloud-based GWAS and image processing applications with the UK Biobank dataset.Developing a novel machine learning method converting binary trait to quantitative trait to boost statistical power for GWAS.
Vp Software
Building cloud infrastructure for streaming data analysis. Clinical trial automation.
Scientific Fellow (Vp) / Sr. Director, Bioinformatics
Let's bring the light to the next revolution in genomics together!
Director, Bioinformatics
There are two kinds of data: boring one and exciting one, regardless big or small. It is important to understand the difference between them and make life and work more exciting.
Sr. Manager, Bioinformatics
There are always up and down. Not losing focus is important.
Staff Engineer, Bioinformatics
* More data for more fun and more science!!* Bioinformatics analysis and development group leader:-- R&D on understanding the nature of the SMRT sequencing data for empowering the research community to utilize the full potential from the single molecule DNA sequencing platform through providing computational, bioinformatics and statistical expertise-- Establish a collaborative working environment to attack most challenge and interesting problems and make impact at the whole organization level.
Sr. Software Engineer, Bioinformatics
- data and systems analysis for ABI "SOLiD" next-gen sequencing platform- develop in-house high throughput data analysis framework using map-reduce paradigm- prototype algorithm for improving the data quality- develop QC pipeline from sequence design to simple web interface QC report
Postdoctoral Scholar
Scientific research on various topics - microarray data analysis - comparative genomics- cis-regulatory networks- protein interaction networks- designed and implemented an automatic sampling system (including both hardware and software development) for a high-throughput real time flow-cytometer measurement of gene expression for GFP-tagged proteins. - experimental and theoretical study on systems biology of gene regulations for metabolic pathways- research publications in PLoS Biology, Genome Research, Bioinformatics, BMC Bioinformatics, Genome Biology, Nature Genetics, PNAS
Research Assistant
Research on the statistical mechanics of critical phenomena of non-equilibrium systems.
Jason Chin education
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University Of Washington
Frequently asked questions about Jason Chin
Quick answers generated from the profile data available on this page.
What company does Jason Chin work for?
Jason Chin works for Pathos.
What is Jason Chin's role at Pathos?
Jason Chin is listed as VP, AI and Algorithm Development at Pathos.
What is Jason Chin's email address?
AeroLeads has found 1 work email signal at @pathos.com for Jason Chin at Pathos.
Where is Jason Chin based?
Jason Chin is based in San Leandro, California, United States while working with Pathos.
What companies has Jason Chin worked for?
Jason Chin has worked for Pathos, Omicsight, Foundation Of Biological Data Sciences, Genedx, and Dnanexus.
How can I contact Jason Chin?
You can use AeroLeads to view verified contact signals for Jason Chin at Pathos, including work email, phone, and LinkedIn data when available.
What schools did Jason Chin attend?
Jason Chin holds Phd, Physics from University Of Washington.
What skills is Jason Chin known for?
Jason Chin is listed with skills including Bioinformatics, Genomics, Computational Biology, Genetics, Systems Biology, Dna Sequencing, Data Analysis, and Sequencing.
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