Tim Farrell

API that allows payers and health systems to predict risk, screen patients and triage across a wide range of clinical outcomes

Agentic application to accelerate unstructured data search, extraction and enrichment

Application for providers/ health plans to more effectively triage patients using clinical risks predicted from medical history

Digital platform for epidemiologists/ analysts to more rapidly analyze and generate evidence from real-world healthcare datasets

Browser-native, notebook-based data analysis environment (partnership with Hex)

Outbreak detection service for hospital systems

Large database for antibiotic susceptibility prediction from genomic data

Fast data processing and analysis pipelines for malarial genomics

Research project on improving amplicon sequencing error correction to support a phase VI clinical trial for malaria vaccine

Data science competition project on applying Mask-RCNN to nuclei detection in cellular imaging

Preprocessing pipeline for fMRI data from the Human Connectome Project (completed as part of paid role in neuroscience lab)

Research project on predicting Rh antigen phenotypes from Oxford Nanopore (ONT) genomic data (completed as part of unpaid internship)

Data processing and analysis pipeline for ONT sequencing data

Research project on developing error mitigation techniques for ONT sequencing data (completed as part of paid internship)