Wasim Aftab

Postdoctoral Researcher at LMU Klinikum München

Neuried, Bavaria, Germany
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Summary

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Wasim Aftab is a postdoctoral researcher and bioinformatics software engineer with over eight years of experience applying machine learning and generative AI to biomedical problems. He holds a PhD in Bioinformatics (magna cum laude) specializing in proteomics and combines strong engineering skills (Python, R, JavaScript) with production deployments on DigitalOcean and AWS. Notable achievements include a Graph-RAG biomedical QA app that improved information retrieval by 137.5% and Snakemake pipelines that halved NGS processing time while boosting reproducibility. He has built R packages, Shiny and Electron apps used by multiple labs and developed one-shot learning tools for protein complex prediction, bridging wet-lab needs and scalable computational solutions. Based in Neuried, Bavaria, he brings a rare blend of high-performance computing roots, ML expertise (Bayesian methods, BERT/GPT, deep learning), and practical experience turning omics research into deployable tools.
code8 years of coding experience
job13 years of employment as a software developer
bookBachelor of Engineering, Computer Engineering, (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗛𝗶𝗴𝗵 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴), 𝗙𝗶𝗿𝘀𝘁 𝗖𝗹𝗮𝘀𝘀 𝘄𝗶𝘁𝗵 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻, Bachelor of Engineering, Computer Engineering, (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗛𝗶𝗴𝗵 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴), 𝗙𝗶𝗿𝘀𝘁 𝗖𝗹𝗮𝘀𝘀 𝘄𝗶𝘁𝗵 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻 at Visvesvaraya Technological University
bookDoctor of Philosophy - PhD, Bioinformatics (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗣𝗿𝗼𝘁𝗲𝗼𝗺𝗶𝗰𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀), 𝗠𝗮𝗴𝗻𝗮 𝗰𝘂𝗺 𝗹𝗮𝘂𝗱𝗲, Doctor of Philosophy - PhD, Bioinformatics (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗣𝗿𝗼𝘁𝗲𝗼𝗺𝗶𝗰𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀), 𝗠𝗮𝗴𝗻𝗮 𝗰𝘂𝗺 𝗹𝗮𝘂𝗱𝗲 at Ludwig-Maximilians-Universität München
bookMSc, Computer Engineering (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴), 𝗔+, MSc, Computer Engineering (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴), 𝗔+ at King AbdulAziz University
languagesHindi, Bengali, Arabic, English, German
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43questions
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Github Skills (56)

css9
limma9
nodejs9
chrome9
html9
javascript8
r-package8
electron8
v87
vector6
ggplot6
android6
csharp6
cytoscapejs6
xamarin6

Programming languages (6)

TypeScriptC#RC++JavaScriptPython

Github contributions (5)

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LIMMA (an empirical Bayes method) pipeline for two group comparison in a proteomic experiment
Contributions:9 releases, 93 commits, 4 PRs in 4 years 10 months
limma
wasimaftab/IMS_Shotgun

Jan 2020 - Sep 2024

Contributions:3 pushes, 1 branch in 4 years 8 months
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