Arian Amani

Machine Learning Scientist at Wellcome Sanger Institute

Rome, Lazio, Italy
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Summary

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Arian Amani is a machine learning scientist with five years of experience applying deep learning and representation learning to drug discovery and single-cell genomics. Currently at AI VIVO and collaborating with the Wellcome Sanger Institute, he develops and deploys large-scale PyTorch models and generative approaches to accelerate disease understanding and gene-drug interaction discovery. His background spans industrial computer vision projects and freelance work on RAG/LLM agents and LangChain deployments, giving him practical experience in production ML systems as well as research-grade modeling. He has taught machine learning and deep learning topics to large university classes, bridging pedagogy and hands-on engineering. Notably, he combines academic rigor from Sapienza and Amirkabir with a knack for exploring under-researched problems to squeeze extra efficiency and insight out of complex biological data.
code5 years of coding experience
job1 year of employment as a software developer
bookAmirkabir University of Technology
bookComputer Science, Computer Science at Sapienza Università di Roma
languagesPersian, English, Italian
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Github Skills (25)

artificial-intelligence10
transcriptomics10
computer-engineering10
single-cell-genomics9
python9
machine-learning9
single-cell-analysis9
scanpy9
ai9
bioinformatics9
scales8
preprocess7
variational-autoencoder7
notice6
prepare6

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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ArianAmani/preimutils

Jan 2022 - May 2023

All you need to preprocess and prepare your annotated dataset
Contributions:4 PRs, 17 pushes in 1 year 4 months
datasetneedpreparepreprocessannotated
ArianAmani/ArianAmani

Feb 2023 - Aug 2024

Contributions:14 pushes, 1 branch in 1 year 6 months
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