- Development and deployment of machine learning models for real-time concrete workability prediction based on concrete truck sensor measurements.- Real-time detection of anomalies in time series data.

Algorithm design and data science relating to IoT devices including:- Automatic detection and classification of incorrect fitting based on temperature sensor data from Leakbot, IoT leak detection device (Matlab/machine learning/statistics).- "Machine listening" algorithms for domestic boiler fault detection with BeWarm (signal processing/audio).- Improvements to Cloudcycle's concrete slump estimation based on concrete truck sensors (Bayesian statistics/machine… Show more Algorithm design and data science relating to IoT devices including:- Automatic detection and classification of incorrect fitting based on temperature sensor data from Leakbot, IoT leak detection device (Matlab/machine learning/statistics).- "Machine listening" algorithms for domestic boiler fault detection with BeWarm (signal processing/audio).- Improvements to Cloudcycle's concrete slump estimation based on concrete truck sensors (Bayesian statistics/machine learning/Python/AWS).- Implementation of in-house traffic analysis system including development of patented computer vision algorithms (Python/pytorch/AWS) and native smartphone apps (Kotlin/Swift). Show less

Developed machine learning techniques to reverse engineer how the brain processes sound. Designed and carried out neurophysiological experiments (recording brain activity in response to sound), and implemented cutting-edge analysis techniques. Supervised Masters students research projects.

Developed a virtual reality platform to run experiments on the perception of binaural (3D) sound as part of Horizon 2020 project 3D Tune-In (3D-games for tuning and learning about hearing aids). This involved developing a set of virtual reality applications, and developing experiments that would inform the design of applications to improve hearing aid outcomes.

Designed and carried out experiments to answer fundamental questions about how the brain processes speech. Developed and implemented signal processing and machine learning techniques to clean and sort noisy biological recordings. Used advanced statistical techniques to understand how speech information is represented in brain activity.

Designed and implemented user interface for part of an iOS app designed for the iPad, maintained existing OSX apps and responded to customer service requests.