Bobby Ranjan
Computational Biologist
Heidelberg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolBobby Ranjan is a computational biologist with 11 years of technology and research experience, currently leading an interdisciplinary EMBL project to model gene–environment interactions and dissect disease risk. He holds a PhD in Computational Biology from Heidelberg and has a strong track record in (epi)genomics and single-cell 'omics, contributing methods and papers on scalable clustering and intergenerational epigenetic inheritance. Comfortable moving between code and biology, he has previously built production software and tooling in industry and applied rigorous computational approaches to biological questions from microbiome-driven epigenetics to cell-type identification. Based in Heidelberg, he combines systems-biology insight with practical software engineering skills, often translating complex experimental questions into robust, reproducible analyses.
11 years of coding experience
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Heidelberg UniversityHigh School, Science, High School, Science at Vikhe Patil Memorial School, PunePrimary & Secondary School, Primary & Secondary School at St. Mary's School, PuneBachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at Nanyang Technological University Singapore
English, Hindi, Italian, Tamil
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
r-package10
rna-seq10
seq9
sequencing9
bioinformatics9
transcriptomics9
clustering9
genomics9
regression8
feature-selection8
variants8
gene-expression7
movie4
iterable4
react3
Programming languages (3)
Github contributions (5)
bbbranjan/DUBStepR
Sep 2019 - Mar 2021
DUBStepR (Determining the Underlying Basis using Step-wise Regression) is a feature selection algorithm for cell type identification in single-cell RNA-sequencing data.
Contributions:84 commits, 1 PR, 53 pushes in 1 year 6 months
regressionsingle-cell-rna-sequencingsequencing-datacell-type-identificationsequencing
bbbranjan/scConsensus
Nov 2019 - May 2021
An approach combining semi-supervised and unsupervised clustering for cell type annotation in single-cell RNA-seq data
Contributions:25 commits, 1 PR, 6 pushes in 1 year 5 months
bioinformaticssemi-supervisedsingle-cell-rna-seqannotationrna
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