Ashish Kumar

Ashish Kumar

Affiliated to Research
Visiting address: KI/Institutionen för klinisk forskning och utbildning, SÖS, 11883 Stockholm
Postal address: S1 Klinisk forskning och utbildning, Södersjukhuset, S1 KI SÖS Forskning Pediatrik Melén, 118 83 Stockholm

About me

  • I am working in the domain of complex disease medical research, with
    specialization in bioinformatics, biostatistics, computational genetics and
    high-performance computing (HPC).
    I am technology enthusiast, with expertise around convergence of different
    scientific disciplines spanning medical science, computer science, data
    science, high-performance computing, biostatistics, biophysics and scientific
    application around business process automation and re-engineering.
    I am additionally focussing on developing new Indo-European collaborative
    research projects in complex diseases as well as technology convergence in
    the genomics domain. At Karolinska Institutet [1] (since 2012), I'm providing
    consultancy to Prof. Erik Melén's [2] group and affiliated to Department of
    Clinical Science and Education [3] at the Södersjukhuset (KI SÖS) [4] - one
    of the largest hospitals in Stockholm.
    [1] http://www.google.com/url?q=http%3A%2F%2Fki.se%2Fen&
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    [2] http://www.google.com/url?q=http%3A%2F%2Fki.se%2Fen%2Fpeople%2Ferimel&
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    [3] https://www.google.com/url?q=https%3A%2F%2Fki.se%2Fen%2Fkisos%2Fdepartment-of-clinical-science-and-education-sodersjukhuset&
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    [4] https://www.google.com/url?q=https%3A%2F%2Fki.se%2Fen%2Fkisos%2Fresearch-ki-sos&
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Research

  • Previously, I was working with Diabetes Research group [1], led by Prof. Mark
    McCarthy [2] at the Wellcome Centre for Human Genetics [3], University of
    Oxford [4] (from 2006-2014) and Genetic Epidemiology group [5], led by Prof.
    Nicole Probst-Hensch [6] at the Swiss Tropical and Public Health Institute
    [7], University of Basel [8] in Switzerland (from 2010-2018).
    *Research Summary:*
    * OMICs data integration involving GWAS and imputed datasets, sequencing
    (genomic and exomes), methylation/epigenomics data, transcriptomics,
    expression arrays, proteomics and biological pathways.
    * Application of methodologies in artificial intelligence/machine learning
    into genomics.
    * Complex diseases like asthma, type-2 diabetes, pulmonary function traits
    like lung function, COPD, eczema, rhinitis, obesity, BMI and related
    phenotypes.
    * GWAS analysis in consortium projects like DIAGRAM [9], ENGAGE [10], EGG,
    EAGLE, SpiroMeta, MAGIC, GoDMC [11], etc.
    * EWAS analysis in consortium projects with PACE [12] and MeDALL [13]
    * Discovery, genotyping and association evaluation of variants in projects
    like GoT2D [14], GABRIEL and SUMMIT project (developing SOPs and pipelines
    for discovery/analysis on HPC servers and super-computing clusters).
    * Evaluations of methylation chip data using various normalisation methods
    * Annotation challenges with genetics and epigenetics datasets.
    *Expertise:*
    * Covering diverse range of platforms including low-coverage sequencing,
    exome-sequencing, dense-array genotyping on various chips from Illumina &

  • Affy, methylation arrays from Illumina, custom i-Select chips like
    Metabochip, HumanCoreExome, etc.
    * Multivariate statistics like logistic regression, principal components
    analysis, etc. to analyse various cohort datasets.
    * Gene and environment interactions, rare variants and fine mapping
    analysis.
    * Building and incorporating large QC and bioinformatics-pipelines for
    various types of -omics datasets like genotyped/imputed SNPs, methylation
    CpGs, RNA-seq, proteomics, expression, etc.
    * Managing Data centre
  • high-performance computing resources.
    * Large scale data storage, handling, formatting and visualisation.
    * Bioinformatics education &
  • training.
    *For detailed publications list, please follow this link:*
    http://scholar.google.co.uk/citations?user=j-eQjGEAAAAJ&
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    [1] https://www.google.com/url?q=https%3A%2F%2Fwww.well.ox.ac.uk%2Fresearch%2Fresearch-groups%2Fmccarthy-group&
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    [2] https://www.google.com/url?q=https%3A%2F%2Fwww.well.ox.ac.uk%2Fpeople%2Fmark-mccarthy&
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    [3] http://www.google.com/url?q=http%3A%2F%2Fwww.well.ox.ac.uk%2F&
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    [4] http://www.google.com/url?q=http%3A%2F%2Fwww.ox.ac.uk%2F&
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    [5] https://www.google.com/url?q=https%3A%2F%2Fwww.swisstph.ch%2Fen%2Fabout%2Feph%2Fchronic-disease-epidemiology%2Fgenetic-epidemiology-of-non-communicable-diseases%2F&
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    [6] https://www.google.com/url?q=https%3A%2F%2Fwww.swisstph.ch%2Fen%2Fstaff%2Fnicole-probst-hensch%2F&
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    [9] https://www.google.com/url?q=https%3A%2F%2Fwww.diagram-consortium.org%2F&
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    [10] http://www.google.com/url?q=http%3A%2F%2Fwww.euengage.org%2F&
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    [11] http://www.google.com/url?q=http%3A%2F%2Fwww.godmc.org.uk%2F&
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    [12] https://www.google.com/url?q=https%3A%2F%2Fwww.niehs.nih.gov%2Fresearch%2Fatniehs%2Flabs%2Fepi%2Fpi%2Fgenetics%2Fpace%2Findex.cfm&
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    [13] https://www.google.com/url?q=https%3A%2F%2Fwww.isglobal.org%2Fen%2Fproject%2F-%2Fasset_publisher%2Fqf6QOKuKkIC3%2Fcontent%2Fmedall&
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    [14] http://www.google.com/url?q=http%3A%2F%2Fwww.type2diabetesgenetics.org%2Fprojects%2Fgot2d&
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