Summary
Prabhant Singh is a lecturer and researcher in AI and data science based in Amsterdam, bringing a decade of experience across academic and industrial research roles. He studies dataset similarity, optimal transport, deep learning and AutoML, and teaches courses on data science and responsible AI at TU Eindhoven while pursuing a part-time PhD. His background includes applied research stints at OpenML, NEC Labs, Sorbonne, and a data-science role at Microsoft focused on AI for scientific discovery, showing fluency in both open-science ecosystems and product-oriented ML. Prabhant has experience building ML systems for large-scale numerical and domain-adaptive datasets and has moved between research and engineering roles that bridge reproducible science and production readiness. He actively seeks to contribute to scientific open-source projects and initiatives at the intersection of health, environment and social justice in tech. Colleagues describe him as someone who combines rigorous theoretical work with pragmatic engineering, often surfacing novel dataset-centric perspectives that improve model robustness.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Eindhoven University of Technology
University of Delhi
Master of Science in Engineering (Msc), Computer science, Master of Science in Engineering (Msc), Computer science at University of Tartu
Hindi, English