Heng Qin
Assistant Professor at Chinese Academy of Sciences
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHeng Qin is an Assistant Professor and researcher with 10 years’ experience bridging nanotechnology, plasmonics, and blockchain-informed financial systems. With a PhD from Imperial College London and prior lab roles in thin films and condensed matter physics, he combines deep experimental physics expertise with applied R&D in smart trading systems powered by deep reinforcement learning. His industry experience as an investment manager at a Singapore blockchain fund gives him practical insight into crypto ecosystems and product-market dynamics. Based in England, he translates rigorous academic methods into deployable AI-driven trading strategies, a blend that is uncommon among academics in photonics.
9 years of coding experience
2 years of employment as a software developer
Master of Physics, Condensed Matter and Materials Physics, Master of Physics, Condensed Matter and Materials Physics at The University of ManchesterDoctor of Philosophy (PhD), Nanotechnology, Doctor of Philosophy (PhD), Nanotechnology at Imperial College LondonBachelor of Science - BS, Condensed Matter and Materials Physics, Bachelor of Science - BS, Condensed Matter and Materials Physics at China University of Petroleum 中国石油大学(华东)
English, Chinese
Github Skills (42)
rna-seq9
genomics8
modification8
transcriptomics8
seq8
bioinformatics8
structural-variation7
sequencing7
tsne7
genome-assembly6
machine-learning6
sequence-alignment6
fasta5
deep-learning5
pairwise5
Programming languages (6)
Github contributions (5)
weir12/DENA
Aug 2021 - Oct 2022
Deep learning model used to detect RNA m6a with read level based on the Nanopore direct RNA data.
Contributions:33 commits, 3 PRs, 29 pushes in 1 year 1 month
deep-learningm6ananoporedetectdirect
q1134269149/DENA
Aug 2021 - Dec 2021
Deep learning model used to detect RNA m6a with read level based on the Nanopore direct RNA data.
Contributions:6 PRs, 18 pushes, 3 branches in 3 months
deep-learningm6ananoporedetectdirect
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