data science sub-fields

• Dynamic modelling and time series analysis
• Graphs and dynamic networks
• Graphical modelling
• Deep learning
• Multivariate modelling and regression
• Supervised classification
• Data preparation, cleaning, label engineering
• Anomaly detection and change detection
• Behavioural profiling and monitoring
• Adaptive Learning and Control
• Streaming Data analysis
• Clustering and mixture modelling
• Edge analytics

and more. I can engage in any aspect of data science work, from problem formulation to software development, working either independently or in collaboration with in-house teams.

Please get in touch for more details.

domain-specific expertise

Healthcare and Medical Statistics

• computational neuroscience and fMRI analysis
• dynamic treatment regimes and repeated measures analysis
• big data with small number of cases (rare diseases)

Security

• statistical cybersecurity and anomaly detection
• anti-money laundering and fraud detection

Remote Sensing and Telemetry

• predictive maintenance and industrial IoT
• object and novelty detection in satellite imaging and CCTV

Retail Banking

• adaptive credit scorecards
• fraud detection

Digital marketing

• customer journey modelling (with click and mouse traces)
• A/B testing and real-time decision support

---

technologies

Faded colours indicate familiarity - all others, expertise.