Consult on best practices for cost-effective software development, infrastructure and team composition, including evaluating existing software teams and systems.
Custom infrastructure and pipelines in the cloud (Google Cloud, Amazon Web Services) for processing next-generation sequencing data, including both off-the-shelf
components and bespoke software tools.
Web and mobile applications for genomic, immunologic and clinical data browsing and visualization.
Predictive models for clinical and multi-omic variables using machine learning/artificial intelligence.
Automation of burdensome, manual research tasks using custom software.