Varun Sharma is a computational systems biologist and PhD student at CeMM with nine years of interdisciplinary experience applying deep learning and network medicine to drug discovery and precision health. Trained at ETH Zurich and experienced at institutions including UCSF, Relay and Dewpoint, he blends AI/ML, high-content image analysis and multi-omics network analysis to prioritize therapeutic candidates for neuroinflammation and hyperinflammatory diseases. He is the inventor of patent-pending anti-inflammatory molecules and has developed unsupervised and Siamese deep learning approaches to enable semi-supervised screening with limited labels. Comfortable at the interface of biology and engineering, Varun has built NLP and representation-learning tools for protein complex function prediction and large-scale proteomics analysis. Based in Vienna, he seeks cutting-edge opportunities that leverage computational systems approaches to translate biological insight into actionable therapeutics.
9 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at The Bishop's School
Master's degree, Systems Biology, Master's degree, Systems Biology at ETH Zurich
Bachelor's degree, Biology, General, Bachelor's degree, Biology, General at Williams College
Fast and accurate tool for the functional annotation of protein complex queries built upon hybrid unsupervised and supervised machine learning on PubMed Central full-text word embeddings.
Contributions:59 commits, 2 PRs, 8 pushes in 2 years 2 months
Various code snippets or jupyter notebooks I've put together for fun.
Contributions:26 PRs, 42 pushes, 24 branches in 1 year 10 months
pythondata-sciencejupyter-notebookfor-funsnippets
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