Natansh Mathur
Quantum Researcher (Associate Staff Scientist)
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolNatansh Mathur is a Quantum Machine Learning researcher and Associate Staff Scientist with eight years of experience applying QML algorithms to industrial problems across pharmaceuticals, finance, and automotive sectors at QC Ware. He combines a strong academic foundation—PhD candidate at IRIF (Univ Paris Diderot) and a Parisian Master of Research—with hands-on hardware experiments on diverse quantum devices and production software that bridges clients' use cases to quantum backends. Previously he contributed to quantum research teams at IIT Roorkee, IQC, LIP6 and under notable advisors, demonstrating a track record of building research groups and leading technical projects. Natansh is comfortable moving between theory and engineering: designing algorithms, running hardware experiments, and shipping client-facing software. Based in Paris, he brings an unusual blend of top-tier academic rigor and practical industry delivery, plus a history of student leadership and editorial roles that highlights his communication and team-building strengths.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Univ Paris DiderotParisian Master of Research in Computer Science, Computer Science Research, Magna Cum Laude, Parisian Master of Research in Computer Science, Computer Science Research, Magna Cum Laude at Université Denis Diderot (Paris VII)Indian Institute of Technology Roorkee
Hindi, English, French, Urdu, Marwari
Github Skills (14)
gpu7
python7
pytorch7
autodiff7
automatic-differentiation7
machine-learning7
jit6
composable6
jax5
numpy4
tpu4
react2
javascript2
css2
Programming languages (3)
Github contributions (5)
nashmathur/hello-world
Oct 2017 - Oct 2018
Contributions:3 PRs, 3 pushes, 3 branches in 11 months
Quantum-Machine-Learning-Textbook/Book
Nov 2020 - Jan 2021
Contributions:11 commits in 1 month
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