Arian Amani
Machine Learning Researcher - Molecular Privacy at Apheris
Rome, Lazio, Italy
Summary
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Rockstar🎓
Top SchoolArian 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.
5 years of coding experience
4 years of employment as a software developer
Amirkabir University of TechnologyComputer Science, Computer Science at Sapienza Università di Roma
Persian, English, Italian
Stackoverflow
1reputation
0reached
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Github Skills (28)
artificial-intelligence10
machine-learning10
autoencoder10
ai10
single-cell-genomics9
single-cell-analysis9
bioinformatics9
transcriptomics9
scanpy8
variational-autoencoder7
python7
mathematics6
wget6
data-science6
preprocess6
Programming languages (3)
Github contributions (5)
Lotfollahi-lab/CellDISECT
Mar 2025 - Mar 2026
Fairness in single-cell data
Contributions:3 releases, 3 PRs, 30 pushes in 1 year
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
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