Artem Lensky
Lecturer at UNSW Canberra
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolArtem Lensky is an interdisciplinary lecturer, researcher, and founder with over a decade of experience blending quantitative finance, medical data science, and security engineering. He runs a private algorithmic trading engine that mines order-flow and multileg arbitrage signals, consults on liquidity risk, and teaches graduate courses linking financial markets to physical systems and ML-augmented investment decisions. His medical-data work includes ML/DL models for Parkinson’s, stroke and diabetes counterfactual explanations, a simulated PID controller for a cryptographically secured insulin pump, and novel algorithms for aligning high-dimensional flow cytometry data. On the security front he has performed privacy analyses for government health registers, published on homomorphic encryption, and contributes to defence projects on AI-powered sensing for explosive detection. Comfortable moving between theory and production, Artem combines a PhD in electrical engineering and applied mathematics training with hands-on system development and curriculum design across universities in Australia and Korea.
12 years of coding experience
9 years of employment as a software developer
Johns Hopkins UniversityMaster's degree Computer Science, Master's degree Computer Science at Novosibirsk State Technical University (NSTU)PhD Electrical Engineering, PhD Electrical Engineering at University of Ulsan
English, Russian, Korean
Github Skills (40)
matlab7
seaborn6
echo6
editing5
gjs5
shell-extension5
matplotlib4
code-completion4
gnome-shell4
pandas-dataframe4
menu4
python4
predictive-modeling3
azure3
data-analysis3
Programming languages (5)
Github contributions (5)
Lenskiy/Heart-Dynamics-Research-Library
Oct 2015 - Aug 2016
Contributions:22 commits in 10 months
Lenskiy/functional-programming
Jul 2020 - Jul 2020
Contributions:25 commits, 24 pushes, 1 branch in 12 days
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