Logan Wu
I am an experienced data scientist with a background in engineering, public health, and data infrastructure. I enjoy collaborating with operational units, understanding their day-to-day challenges, and building tech systems that enable them to perform their best. In my previous work I have proven effective as both a technical team leader and an individual contributor.
Work History
Data and Analytics Lead
Data and Systems Manager
Burnet Institute
I lead data collection, data engineering, and analysis for two large clinical implementation studies in Victoria.
My work includes:
- Mapping data processes to convey information to regulatory bodies and management
- Designing data architecture, including collection, validation, engineering, redundancy, and accessibility
- Producing clean data products and documentation for downstream colleagues
- Statistical and mathematical modelling
- Ensuring my team's generative AI products have appropriate documentation and tooling
COVID-19 Analytics Lead
Victorian Department of Health
I founded a team developing novel data science software for epidemiologists and operations. Our software reduced the burden of many types of time-critical investigations from hours for a team to minutes for an individual. We succeeded where previous initiatives failed by building a network with strong domain expertise. We also reduced spend on consultants by forming an in-house data science resource.
My duties included:
- Interfacing with users, management, IT, and consultants to develop fit-for-purpose software
- Capability growth through upskilling, hiring, and contracting, growing the team from 3 to 9
- Statistical, mathematical, and geospatial data modelling
- Project management and software engineering for COVID-19 testing, surveillance, and outbreak management teams
Co-author of The spread of [COVID-19] via staff work and household networks, Infection Control & Hospital Epidemiology.
Co-author of The relative effectiveness of three and four doses of COVID-19 vaccine [...], Vaccine.
Consultant
Arup
To give our clients and in-house teams a competitive edge, I:
- Developed software to accelerate geotechnical and acoustic engineering investigations
- Advised clients on infrastructure risks faced by vulnerable communities on remote islands
- Created interactive mapping platforms to help stakeholders minimise the impact of design options on local ecology
- Developed algorithms for operations research, signal processing, and ETL, reducing engineer workloads from days to hours
- Managed commercial controls and reporting for design management using automation
Education
MPhil in Computational Epidemiology
I studied malaria epidemics in the Greater Mekong Subregion. I developed computational Bayesian modelling techniques to quantify factors affecting the severity of seasonal and transient epidemics, allowing costly field studies to be targeted more efficiently.
Thesis: Bayesian Calibration of Dynamic Plasmodium vivax Transmission Models.
First author of Quantifying the impact of contact tracing interview prioritisation strategies [...], PLOS Computational Bio.
Bachelor of Engineering (Honours) in Engineering Science
I completed the four-year programme with first class honours, specialising in Operations Research.
University of Auckland Scholarship recipient. First in Course Awards for courses covering mathematical and computational modelling, engineering design, statistical modelling, and Bayesian inference.
Highly commended thesis: Bayesian Modelling of the Wairakei Geothermal Surface Network.
Technical Skills
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Awards
Emergency Management Award (Winner)
Evidence-based Policy Award (Finalist)
I was the lead developer for two innovative and impactful projects in the Victorian public sector.
Best Technical Project
I developed a signal processing library for wind turbine noise compliance, which automatically analysed months of recordings for a client.