· Applied multi-modal machine learning algorithms to predict disease phenotypes (e.g. mortality due to COVID-19) using electronic health records, allowing the potential for improved targeted patient care.· Increased team efficiency by deploying Python package to streamline the building of ensemble algorithms.· Communicated insights to clinicians and research staff via report writing, visualizations and presentations.· Effectively managed projects with GitHub including continuous integration and deployment workflows.· Utilized cloud computing to improve efficiency of data pipelines and accelerate training of deep learning models.· Mentored junior team members through project supervision, and teaching via workshops.

· Assessed resilience of desert ecosystems to environmental change by constructing and simulating ecosystem models, determining critical thresholds for ecosystem collapse.· Implemented numerical algorithms to efficiently solve mathematical models using GPU computing.· Maximized project impacts by translating mathematical findings into biological insights resulting in publications in top interdisciplinary journals.