BABLU KUMAR

BABLU KUMAR

Internship Trainee

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location of BABLU KUMARSiwan, Bihar, India

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  • Timeline

  • About me

    PhD in System Medicine (Computational Biology) at European School of Molecular Medicine || Ex-JPL-JVSRP at NASA-JPL || Human Gut Microbiome || NGS-Pipeline Development || Machine Learning

  • Education

    • Pondicherry University

      2020 -
      M. Tech Computational Biology
    • AMITY University Gurgaon

      2016 - 2020
      Bachelor of Technology Biotechnology
    • Università degli Studi di Milano

      -
  • Experience

    • Amity University

      Jan 2017 - Mar 2017
      Internship Trainee

      I worked part-time as a trainee in Dr. Saif Lab for 3 months.

    • AMITY University Gurgaon

      May 2017 - Jul 2017
      Internship Trainee
    • AMITY University Gurgaon

      May 2018 - Jul 2018
      Internship Trainee

      The project entitled:- Effect of vanillin on MDR mechanisms in clinical isolates of Candida. albicans

    • AMITY University Gurgaon

      May 2019 - Jul 2019
      Internship Trainee

      The project entitled:- Understanding the role of glyoxylate cycle in human fungal pathogen Candida albicans

    • Institute of genomics and integrative biology (CSIR)

      Dec 2019 - Jun 2020
      Research Intern

      Six-month dissertation project entitled “Understanding glyceride metabolism in mycobacteria: a molecular biology approach” under Dr. Sheetal Gandotra in “Sheetal Gandotra LAB” at CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB)

    • AMITY University Gurgaon

      Mar 2021 - Nov 2021
      Research Trainee

      1. Developing machine learning algorithm for detection of long-noncoding RNA.In this project, I have used several sequence-based features such as coding potential and nucleotide arrangements proposed to distinguish between coding and non-coding transcripts. I perform a systematic assessment of a wide collection of features extracted from sequence data in this work. The aim is to detect signatures able to distinguish long non-coding transcripts from protein-coding and non-coding. I evaluate different feature selection algorithms, test for signature stability, and evaluate the prediction ability with a machine learning algorithm such as support vector machine, random forest, logistic regression, k-nearest neighbors algorithm.2. Developing machine learning algorithm to detect cancer type by using cfDNA. In this ongoing project, I am using a machine learning approach to discover signatures in cfDNA, developing and implementing a computational approach for representing and learning associations between cfDNA profiles and cancer status. Show less

    • Pondicherry University

      Aug 2021 - Sept 2022
      Research Trainee

      Title: To develop a mobile health application to predict the risk of Cardiovascular Disease using Machine Learning techniques.My project aims to develop a mobile health application to predict the risk of Cardiovascular Disease using Machine Learning techniques. The purpose of the study is to monitor and maintain the health of Cardiovascular Disease (CVD) patients with the help of the mHealth application. The main motive is to reduce the risk of CVD and assess through Randomised Controlled Trial. Show less

    • CSIR - Institute of Microbial Technology

      Oct 2021 - Oct 2021
      Research Trainee
    • Institute Of Microbial Technology

      Sept 2022 - Oct 2022
      Project Associate
    • European School of Molecular Medicine (SEMM)

      Oct 2022 - now
      Doctoral Student
    • Università degli Studi di Milano

      Oct 2022 - now
      Doctoral Student
    • NASA Jet Propulsion Laboratory

      Feb 2024 - Sept 2024
      Research Fellow
    • Vilniaus universitetas / Vilnius University

      Sept 2024 - now

      FEBS Summer Fellowships were awarded to visit Life science center at Vilnius University, Lithuania.

      • Visiting Research Fellow

        Dec 2024 - now
      • Summer Research Intern

        Sept 2024 - Dec 2024
  • Licenses & Certifications

    • The Data Scientist’s Toolbox

      The Johns Hopkins University
      Aug 2020
    • Python Data Structures

      University of Michigan
      Aug 2020
    • Python for Genomic Data Science

      The Johns Hopkins University
      Jul 2020
    • Introduction to Genomic Technologies

      The Johns Hopkins University
      Jul 2020
    • COVID-19 Contact Tracing

      The Johns Hopkins University
      Jul 2020
    • Genomic Data Science with Galaxy

      The Johns Hopkins University
      Jul 2020
    • Python for Data Science and AI

      IBM
      Jul 2020
    • Programming for Everybody (Getting Started with Python)

      University of Michigan
      Aug 2020