Shilpa Garg
PHD Fellow at Novo Nordisk Research Center Oxford/ University of Dundee
Dundee, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolShilpa Garg is a machine learning researcher and PhD fellow in Medicine based in Dundee with 10 years’ experience applying computational and statistical methods to translational biomedical problems. She combines longitudinal clinical data, genomics, and prescription records to investigate variability in Type 2 Diabetes drug response, leveraging polygenic risk scores and ML to drive personalized treatment strategies. Previously she built and productionized bioinformatics workflows for multi-omics and NGS analysis at industry and startup labs, supporting target ideation across immuno-oncology, fibrosis, and cardiovascular programs. Comfortable moving between hands-on data curation, pipeline design, and advanced modeling, she has a track record of integrating ML into existing translational pipelines to extract actionable biomarkers. Notably, her background spans molecular simulation, variant interpretation, and single-cell/RNA-seq analyses, giving her a rare end-to-end view from molecular mechanisms to population-level treatment effects.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Medicine, Doctor of Philosophy - PhD, Medicine at University of Dundee/ Novo-Nordisk Research Centre OxfordIndian Institute of Technology RoorkeeB.C.M. Senior Secondary School
English, Hindi, Punjabi, Sanskrit
Github Skills (23)
phasing10
genome10
graph10
bioinformatics10
genomics10
assembly9
structural-variation8
gene-expression7
assembler7
bioconda6
seq6
rna-seq5
transcript5
genomes5
genome-assembly2
Programming languages (5)
Github contributions (5)
shilpagarg/pstools
Nov 2020 - Oct 2022
Contributions:35 commits, 10 pushes, 2 branches in 1 year 10 months
shilpagarg/WHdenovo
Jan 2019 - Jun 2020
Contributions:154 commits, 102 pushes, 16 branches in 1 year 5 months
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