Nam Sy Vo personal email
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I am working in the field of Bioinformatics with an emphasis on Omics Data Analysis. I am interested in both developing methods for data analysis and applying standard tools for downstream analyses in the field. Previously I have worked on Gene Expression Analysis and may come back to that any time in the future. In general I am interested in Data Science and Machine Learning techniques. I am frequently using C/C++, Golang, Python and mostly working with Linux environment.
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Co-Founder, Chief Scientist And CtoGenestoryHanoi, Vn -
Co-Founder, Chief Scientist & CtoGenestory Apr 2022 - PresentHanoi, Hanoi, VietnamA spinoff company, founded by Vingroup/VinBigdata -
Director, Center For Biomedical InformaticsVinbigdata Oct 2021 - Mar 2022Hai Bà Trưng District, Hanoi, Vietnam* 1KVG: 1000 Vietnamese Genomes Project* MASH: Management, Analysis, Sharing, and Harmonization of Biomedical Data* VGR: Building a comprehensive Vietnamese-specific Genome Reference* VGC: Design & Implementation of Vietnamese-specific Genetic Chip* VGP: Vietnamese Genome-based Prediction of Disease Risks* ADR: Preventing Adverse Drug Reactions using Pharmacogenomics Approach* AMR: Fighting Antimicrobial Resistance using Sequencing Data and Big Data Analytics -
Head, Department Of Translational Biomedical InformaticsVingroup Big Data Institute Oct 2020 - Sep 2021Hanoi, Vietnam* 1000 Vietnamese Genomes Project (1KVG Project).* Management, Analysis, Sharing, and Harmonization of Big Biomedical Data (MASH Project).* Vietnamese Genome-based Prediction of Disease Risks (VGP Project)* Preventing Adverse Drug Reactions using Pharmacogenomics Approaches and Big Data Analytics (ADR Project).* Fighting Antimicrobial Resistance (AMR) using Sequencing Data and Big Data Analytics (AMR Project). -
Leader, Immunogenomics & Pharmacogenomics GroupVingroup Big Data Institute Jul 2019 - Sep 2020Ha Noi, Viet Nam* 1000 Vietnamese Genomes Project.* Management, Analysis, Sharing, and Harmonization (MASH) of Big Biomedical Data.* Preventing Adverse Drug Reactions (ADR) using pharmacogenomics approaches and big data analytics.* Fighting Antimicrobial Resistance (AMR) using sequencing data and big data analytics. -
Senior BioinformaticianUniversity Of Chicago Oct 2017 - Jun 2019Chicago, Illinois• Workflows for Somatic Variant Calling, Structural Variant Detection, Variant Annotation.• Analysis and interpretation of short-read sequencing data from gene panels/WES/WGS.• Workflow analysis for large-scale biomedical data. -
Postdoctoral FellowMd Anderson Cancer Center Oct 2016 - Sep 2017Houston, Texas Area• Developing methods for detecting Indels from RNA-Seq data. This is achieved by leveraging the group's expertise and in collaboration with 1000 Genomes Projects group.• Analyzing effects of Indels on various cancer types using sequencing data. This is achieved in collaboration with various MD Anderson groups and TCGA working groups.• Developing methods for computational immunogenomics including HLA typing, TCR profiling, and neoantigen prediction using both sequencing and mass… Show more • Developing methods for detecting Indels from RNA-Seq data. This is achieved by leveraging the group's expertise and in collaboration with 1000 Genomes Projects group.• Analyzing effects of Indels on various cancer types using sequencing data. This is achieved in collaboration with various MD Anderson groups and TCGA working groups.• Developing methods for computational immunogenomics including HLA typing, TCR profiling, and neoantigen prediction using both sequencing and mass spectrometry data. Show less -
Research AssistantDepartment Of Computer Science, The University Of Memphis Sep 2011 - Aug 2016• Developed a novel method for variant calling from sequencing data. This method leverages known genomic variants with a Bayesian framework to detect variants. - The method was implemented in Go language (github.com/namsyvo/IVC).• Developed a novel method for aligning short-reads to reference genomes. This method exploits an iterated randomized algorithm together with a bidirectional FM-index to improve alignment performance across a wide range of read lengths and base error… Show more • Developed a novel method for variant calling from sequencing data. This method leverages known genomic variants with a Bayesian framework to detect variants. - The method was implemented in Go language (github.com/namsyvo/IVC).• Developed a novel method for aligning short-reads to reference genomes. This method exploits an iterated randomized algorithm together with a bidirectional FM-index to improve alignment performance across a wide range of read lengths and base error rates. - The method was implemented in C++ (github.com/namsyvo/RandAL).• Developed a novel method for predicting true patterns of gene expression. This method uses directed graphs and orderable sets to represent gene patterns and to deduce more and better functionally enriched gene clusters than traditional methods. - The method was implemented in Python (github.com/namsyvo/mDAG). Show less -
Research AssistantBioinformatics Program, The University Of Memphis Sep 2009 - Aug 2011• Built web-based tools for analyzing gene expression data with using Python and web2py.• Participated in the project of designing synthetic genes with maximal number of hidden stop codons. -
LecturerNational University Of Civil Engineering, Vietnam Jan 2005 - Jun 2009• Taught several subjects: Programming Languages, Object Oriented Programming, Networks Application Programming.• Designed and implemented a new method for XML Schema Integration. This project was supported in part by University of Civil Engineering under Grants KHXD 2006 – 2008.• Developed a new method for XML Schema Automatic Matching. This project was supported inpart by the Vietnam’s Ministry of Science and Technology under Grant KHCB 2.034.06.• Developed and maintained a… Show more • Taught several subjects: Programming Languages, Object Oriented Programming, Networks Application Programming.• Designed and implemented a new method for XML Schema Integration. This project was supported in part by University of Civil Engineering under Grants KHXD 2006 – 2008.• Developed a new method for XML Schema Automatic Matching. This project was supported inpart by the Vietnam’s Ministry of Science and Technology under Grant KHCB 2.034.06.• Developed and maintained a website for Department of Systems Engineering, University of Civil Engineering. Show less
Nam Sy Vo Skills
Nam Sy Vo Education Details
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Computer Science (Bioinformatics) -
Bioinformatics -
Information Technology -
Information Technology
Frequently Asked Questions about Nam Sy Vo
What company does Nam Sy Vo work for?
Nam Sy Vo works for Genestory
What is Nam Sy Vo's role at the current company?
Nam Sy Vo's current role is Co-Founder, Chief Scientist and CTO.
What is Nam Sy Vo's email address?
Nam Sy Vo's email address is vs****@****hoo.com
What is Nam Sy Vo's direct phone number?
Nam Sy Vo's direct phone number is +190184*****
What schools did Nam Sy Vo attend?
Nam Sy Vo attended The University Of Memphis, The University Of Memphis, Hanoi University Of Science And Technology, Hanoi University Of Science And Technology.
What are some of Nam Sy Vo's interests?
Nam Sy Vo has interest in Newspaper, Writing, Government Organization, Company, Community Service, Báo Thanh Niên, Vũ Hà, Lynk Myt Cosmetic, City, Consulting Agency.
What skills is Nam Sy Vo known for?
Nam Sy Vo has skills like Algorithms, Bioinformatics, Data Mining, Java, C, C++, Go Language, Python, Latex, Programming, Computer Science, Linux.
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