David Norrish Email & Phone Number

Melbourne, Victoria, Australia

Australia

Leading technology decisions for a team of ML engineers focused on developing deep learning models and supporting infrastructure for the automated analysis of huge volumes of medical time series data, particularly EEG and ECG. Our cloud-based AI service decreases the time required for diagnostic review of epilepsy studies by >90%, with industry-leading ML performance.- Heavy involvement in a complete re-write of our ML codebases and production infrastructure to adopt best practice industry tooling (PyTorch Lightning, ClearML for experiment tracking, MLOps monitoring and deployment on AWS serverless infrastructure)- R&D of deep learning-based time series and image segmentation models for the detection of epileptic activity, allowing us to drastically reduce clinician review time- Key contributor to architecting serverless data pipelines & REST API integrations with 3rd party services to automate business processes & empower our in-house clinical & manufacturing services, e.g. telemetry-based alerting and asset tracking- Contributor to embedded software that runs on our fleet of remote medical devices and handles telemetry, video capturing and analysis- Creation of internal tooling including desktop apps and secure Plotly Dash-based dashboards to assist with device and ML model monitoring- Translating academic research into explainable forecasting techniques (based on quantifiable biological cycles) into a production-grade ML service for seizure prediction

Australia

Melbourne, Australia

Melbourne, Australia

- Consulted with clients across diverse industries about machine learning & NLP projects, from pre-sales through to project planning & delivery- Engineered cloud-based data cleaning & analytics pipelines using Python, Pandas, Prefect, AWS Lambda & RedShift for terabytes of data- Helped develop an in-house "data programming" platform for bootstrapping training labels in large datasets with few annotated examples- Created time series models of customer churn and sales forecasting using scikit-learn, PyTorch and Prophet - supplemented by interpretable linear models to map causality- Unsupervised clustering and visualisation of high-dimensionality data, used for customer segmentation and relationship mining

Canberra, Australia

- Facilitated three-day holiday camps for school-aged children, aimed at teaching core programming skills through the building of individual platform-style games- Focused on teaching the object-oriented paradigm, flow control & event handling

Canberra, Australia

Contributed to full stack development of the platform using React, Redux, JavaScript & Node.js; with MySQL and AWS for the back end. Test-driven development, UX decisions and documentation.

Canberra, Australia

Lab tutoring for the ANU course COMP1730/6730 Programming for Scientists (Python): explaining concepts, assessing homework, liaising with students

Canberra, Australia

• Business intelligence analysis into university employment and financial data, including data cleaning and time-series analysis• Automation of Excel-based reporting processes by constructing VBA macros to communicate with remote data sources• Creation of workflow graphics, reporting templates and project benefit realisation frameworks

Melbourne

- Exploratory data analysis and descriptive statistics- Latent class trajectory modeling- Literature reviewing

Kathmandu, Nepal

- Development of policy guidelines for conducting biomedical research in Nepal, with an aim to prevent international research exploitation- Involvement in earthquake emergency response: establishment of information management systems, coordination of foreign medical teams, assistance with communications, and analysis of health report data- Statistical advice and editing of public health research papers

Parkville, Melbourne

Demonstrate biology practicals to small groups of secondary students visiting the facility, or on outreach trips to rural schools.

Camakaris Human Genetics Lab, Melbourne Brain Centre

Research function and trafficking of the Alzheimer’s disease protein (APP).Techniques include: - Tissue culture - Western blotting - Immunofluorescence microscopy - Molecular genetics - Mutagenesis - DNA analysis - Statistics - Experimental designHave collaborated with other research groups including Bio21, the Australian Synchrotron and the Florey Institute of Neuroscience and Mental Health.

Departments Of Genetics And Biology

- Demonstrating science practicals to VCE students and first year university students

Phnom Penh, Cambodia

- Teaching science, maths, English and social studies classes to primary and secondary classes- Syllabus design- Volunteer coordinating- Database and monitoring systems implementation

Nicotra Plant Ecology & Evolution Lab

- Data collection on photosynthetic rates, and allometric analysis of various Eucalypt species.- Micro-dissection and growth assays to characterise embryology and germination of samples at the Australian National Botanical Gardens Seed Bank.

Melbourne Area, Australia

- Telephone sales and accounts representative for a small internet start-up.- Contrasted aspects of various products and services, and answered technical and accounts questions.- Feedback to improve internal monitoring systems and proofread new web pages.

Melbourne Area, Australia

- Assisted in implementation of the Victorian Government’s ResourceSmart plan for government.- Conducted waste and energy audits, created protocols to guide future targets and monitoring, and presented findings and recommendations at departmental meetings.- Conducted staff interviews and established an environmental team to maintain project.

Master Of Computing, Artificial Intelligence, High Distinction

Master Of Science (Msc), Genetics, Honours 1St Class

Activities and Societies: 2011 Genetics Society of Australasia (poster presentation), 2011 UROP conference (presentation), 2010 Australian.

Bachelor Of Science (Bsc), Biochemistry And Molecular Biology, Honours 1St Class

Activities and Societies: Undergraduate Research Opportunity Program, Green Steps, In2Science, ANU Summer Research Scholarship