Upamanyu Ghose
Computer Scientist at University of Oxford
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolUpamanyu Ghose is a computer scientist and computational neuroscience enthusiast with a decade of experience applying machine learning and deep learning to biological problems. He has combined academic rigor—PhD work in Psychiatry at the University of Oxford—with hands-on research deploying neural networks on genomics and genetics data to investigate neurodegenerative diseases such as Alzheimer’s. His background spans speech and affective computing using multimodal biosignals, open-source tooling for eye-tracker analysis, and applied perception for semantic segmentation and tracking, reflecting a broad applied ML skillset. Having interned at Oxford Nanopore and contributed to translational neuroscience teams, he bridges wet-lab questions and scalable computational models. Based in Oxford, he brings a rare mix of deep learning engineering, experimental design, and domain knowledge in neuroscience that enables novel approaches to genetic and neural data. Notably, he couples production-aware model development with open-source tool creation, emphasizing reproducible pipelines for biological ML.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Psychiatry, Doctor of Philosophy - PhD, Psychiatry at University of OxfordBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Manipal Institute of Technology
Github Skills (34)
statistics7
neuroscience7
infectious-diseases6
neuroimaging6
genome6
python6
visualization6
depth5
decoder5
sequence5
prediction5
sequencing5
keras5
encoder-decoder5
machine-learning5
Programming languages (6)
Github contributions (5)
titoghose/Q-Pi
Feb 2018 - Sep 2019
Contributions:1 release, 40 pushes, 2 branches in 1 year 7 months
titoghose/PyTrack
Jan 2019 - Aug 2022
Contributions:2 reviews, 166 commits, 5 PRs in 3 years 7 months
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