Arna Ghosh is a research scientist with 11 years of experience at the intersection of deep learning and neuroscience, currently working at Google after a multi-year research tenure at Mila. She focuses on biologically inspired algorithms for deep learning and their application to computer vision, driven by a systems-level curiosity about how brain networks enable complex learning. Her background blends a PhD in Computer Science and a Master's in Neuroscience from McGill with early engineering leadership at IIT Kharagpur, giving her a rare mix of theory, lab experience, and software management. She has also interned in AI research at Meta, demonstrating an ability to bridge academic research and industry-scale problems. Colleagues describe her work as both methodologically rigorous and oriented toward decoding biological learning principles for practical AI.
11 years of coding experience
9 years of employment as a software developer
Delhi public school, bokaro
Bachelor of Technology (B.Tech.) Electrical Engineering Technologies/Technicians, Bachelor of Technology (B.Tech.) Electrical Engineering Technologies/Technicians at Indian Institute of Technology, Kharagpur
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at McGill University
Contributions:10 reviews, 20 PRs, 111 pushes in 1 year 9 months
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