Quantitative Researcher

• Jul 2020 - Present

Head of Machine Learning

• Nov 2018 - Jul 2020

Lead Data Scientist

• Jul 2018 - Nov 2018

Developing unique personalised energy demand forecasting technology ground-up. Using deep learning and smart meter data to bring the energy industry into the 21st century. - hands-on lead in a team of 6 Data Scientists, Software Engineers and Machine Learning Engineers - implemented core machine learning framework for reproducible model development and deployment - conceived, researched and implemented novel deep learning approaches to time series forecasting - implemented preprocessing, feature extraction and data aggregation pipelines - hired key team members - introduced processes and best practices Show less

Senior Data Scientist

• Jan 2018 - Jul 2018

I develop machine learning solutions for novel medical diagnostics. My main interests include: - deep learning on multi-channel multi-source sensor data - combining signal processing, Bayesian, and machine learning approches to unlock state-of-the-art performance I presented my state-of-the-art results on detecting Atrial Fibrillation in a conference paper and poster session at KDD2018. I develop machine learning solutions for novel medical diagnostics. My main interests include: - deep learning on multi-channel multi-source sensor data - combining signal processing, Bayesian, and machine learning approches to unlock state-of-the-art performance I presented my state-of-the-art results on detecting Atrial Fibrillation in a conference paper and poster session at KDD2018.

Algorithm Development/Control Systems Engineer

• Feb 2016 - Jan 2018

Delivering novel optical image stabilization and autofocus systems based on shape memory alloy technology - Designed advanced multi-dimensional closed loop control algorithms for highly nonlinear thermally actuated systems - Processing real-time sensor data from a range of custom electronics platforms - Implemented firmware, software, and mechanical solutions with a multi-disciplinary team of engineers - Developed physical models and simulations combining thermal, mechanical and electrical processes - Designed and implemented image acquisition and processing pipelines that allowed critical optimizations across a range of customer projects - Supported product development from R&D through to mass production stage with major players in the mobile electronics sector - Improved internal software development and testing processes, automating firmware and hardware tests from prototype to handset level - Co-authored several international patent applications Show less

Race Skipper

• Mar 2015 - Nov 2015