vinylbr,Vinay Barnabas,github

Hi there 👋, Welcome!!

I am a doctoral researcher @ IIT Bombay working in the intersection of Mathematical Modeling and Computational Biology on tackling drug-resistance evolution in tuberculosis treatment. I am passionate about using mathematical modeling and statistical principles to solve real-world challenges.

Alma mater📚: NIT Tiruchirappalli/Trichy.

Skills: Explainable mathematical models🖥️, data science💹, data visualization, and statistics📊

🔭 I’m working on deploying a project to help clinicians predict evolutionary trajectory of M. tuberculosis in response to a bedaquiline dosing regimen
🌱 I’m currently learning Graph Machine Learning to predict drug-resistance status of patients with tuberculosis

Publications:

Mathematical model to quantify resistance levels in drug-resistant bacteria: https://pubs.acs.org/doi/10.1021/acsinfecdis.2c00460
Mathematical model of tallow production: https://www.tandfonline.com/doi/full/10.1080/00986445.2018.1550391

Vinay Barnabas's Projects

deeplearningvsml_tbresistanceprediction

Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data

ee769_mlmethods_from_scratch

Coding ML models, Sampling Methods, Feature Selection algorithms from scratch

invitroapp

MATLAB app to simulate in vitro adaptation experiments of M. tuberculosis treated with bedaquiline

mtbseq_source

MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.