
BABLU KUMAR
Internship Trainee

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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 - 2020Bachelor of Technology Biotechnology
Università degli Studi di Milano
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Experience

Amity University
Jan 2017 - Mar 2017Internship TraineeI worked part-time as a trainee in Dr. Saif Lab for 3 months.

AMITY University Gurgaon
May 2017 - Jul 2017Internship Trainee
AMITY University Gurgaon
May 2018 - Jul 2018Internship TraineeThe project entitled:- Effect of vanillin on MDR mechanisms in clinical isolates of Candida. albicans

AMITY University Gurgaon
May 2019 - Jul 2019Internship TraineeThe project entitled:- Understanding the role of glyoxylate cycle in human fungal pathogen Candida albicans
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Institute of genomics and integrative biology (CSIR)
Dec 2019 - Jun 2020Research InternSix-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 2021Research Trainee1. 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 2022Research TraineeTitle: 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 2021Research Trainee
Institute Of Microbial Technology
Sept 2022 - Oct 2022Project Associate.webp)
European School of Molecular Medicine (SEMM)
Oct 2022 - nowDoctoral Student
Università degli Studi di Milano
Oct 2022 - nowDoctoral Student
NASA Jet Propulsion Laboratory
Feb 2024 - Sept 2024Research Fellow
Vilniaus universitetas / Vilnius University
Sept 2024 - nowFEBS Summer Fellowships were awarded to visit Life science center at Vilnius University, Lithuania.
Visiting Research Fellow
Dec 2024 - nowSummer Research Intern
Sept 2024 - Dec 2024
Licenses & Certifications

The Data Scientist’s Toolbox
The Johns Hopkins UniversityAug 2020
Python Data Structures
University of MichiganAug 2020
Python for Genomic Data Science
The Johns Hopkins UniversityJul 2020
Introduction to Genomic Technologies
The Johns Hopkins UniversityJul 2020
COVID-19 Contact Tracing
The Johns Hopkins UniversityJul 2020
Genomic Data Science with Galaxy
The Johns Hopkins UniversityJul 2020
Python for Data Science and AI
IBMJul 2020
Programming for Everybody (Getting Started with Python)
University of MichiganAug 2020
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