Logan Wu
I am an experienced data scientist with a background in public health, mathematical and statistical modelling, and data infrastructure. I enjoy collaborating with operational units, understanding their day-to-day challenges, and building tech systems to help them 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
My expertise allows our teams and clients to execute projects with unique technological challenges, making innovative public health research feasible.
My work includes:
- Mapping data processes to convey information to contractors, regulatory bodies, and management
- Managing and collaborating with contractors to engineer fit-for-purpose experimental designs
- Developing systems and algorithms for data processing and analysis
- Producing resources for researchers that enable statistical rigour, reproducibility, and clear study outcomes
Analytics Lead
Victorian Department of Health
I developed a bespoke software system to provide COVID-19 operations with advanced analytics tools. With this system, my team gained department-wide support to overhaul business-as-usual practices for rapidly evolving demands. Our tools allowed epidemiologists to complete investigations in minutes that previously took hours or were infeasible.
My duties included:
- Interfacing with users, IT, management, and consultants, creating collaborations that allowed us to succeed where previous initiatives failed
- Capability growth through upskilling, hiring, and contracting, growing the team from 3 to 9
- Statistical, mathmatical, 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 our engineering teams to transform field investigations
- Advised clients on how to assess risks faced by vulnerable communities and infrastructure on remote islands
- Created interactive geographic analysis platforms for stakeholders to explore how design interations impact ecological and cultural assets
- 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 China and the Greater Mekong Subregion in a joint programme between the University of Melbourne and Shanghai Jiao Tong University. I developed computational Bayesian modelling techniques to determine factors affecting the severity of seasonal and transient epidemics without requiring costly clinical studies.
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 R and lead developer respectively for 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.