PhD in Physics, Data Scientist and ML expert
Lecturer at Advanced Time Series Analysis
Gleb works on several projects, including predictive maintenance system for manufacturing, which analyzes thousands of sensors in near real-time to provide equipment operators with actionable insights on how to prevent failures.
After leaving academia in 2014, Gleb spent two and a half years working on a project, which aimed to find biomedical indications in human locomotion data. Based on data collected from wrist-worn accelerometers the team was able to determine various important indications and project successfully transitioned to product phase.
Shift to machine learning was natural, since both numerical simulations of dynamic chaos and data from various sensors feature the same structure: it’s time series. Currently Gleb works on several projects, including predictive maintenance system for manufacturing, which analyzes thousands of sensors in near real-time to provide equipment operators with actionable insights on how to prevent failures.