Daniel Platt
Chapman-Schmidt Research Fellow at Imperial College London
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDaniel Platt is a Chapman-Schmidt Research Fellow at Imperial College London with 11 years of research experience spanning pure mathematics and applied machine learning. He completed a PhD in Mathematics at Imperial after studies in Berlin, and focuses on differential geometry with an eye toward practical ML applications. His background blends rigorous theoretical work with hands-on AI research experience, including an industry internship at Arabesque. Daniel has a track record of translating geometric insights into data-driven models, bridging abstract theory and computational practice. Based in London, he is comfortable operating at the intersection of academia and industry, bringing depth in theory alongside experience in applied research projects.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Imperial College LondonBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Humboldt-Universität zu BerlinMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at Humboldt University of Berlin
Github Skills (49)
python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
data-science9
sentence9
electra9
ml9
similarity9
deep-neural-networks9
sentence-similarity9
boost9
roberta9
nlp8
Programming languages (7)
Github contributions (5)
danielplatt/danielplatt.github.io
Oct 2021 - Mar 2025
Contributions:128 pushes, 1 branch in 3 years 5 months
danielplatt/kreuzer-skarke-ML
Jul 2022 - Jul 2024
Contributions:2 PRs, 37 pushes, 1 comment in 2 years
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