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.
5 years of coding experience
1 year of employment as a software developer
Amirkabir University of Technology
Computer Science, Computer Science at Sapienza Università di Roma
Contributions:14 pushes, 1 branch in 1 year 6 months
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