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 independent contributor.
Work History
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 collection protocols and databases, including directing field contractors
- Producing clean data products and documentation for downstream colleagues
- Statistical and mathematical modelling
- Ensuring products provided to (and created by) colleagues using generative AI and LLMs have appropriate documentation and tooling
COVID-19 Analytics Lead
Victorian Department of Health
I founded a team develping 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 external initiatives failed by building a network with strong domain expertise, and also reduced spend on consultants by providing 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 with 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.
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.