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 (26)
matlab10
pandas-dataframe5
gnome-shell5
echo5
openai-api4
chatgpt-api4
azure4
genetic-algorithm3
nonlinear-regression3
code-completion3
gjs3
dynamics2
llm2
machine-learning2
time-series2
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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