Translational Analytics
The Translational Analytics team supports healthcare data science at Fred Hutch by analyzing real-world data generated over the course of health care delivery, and by improving the interoperability, quality, and accessibility of these data. They collaborate with Hutch researchers and staff to understand critical questions about cancer patients, develop impactful and practical data analyses, and to develop tools that support democratized data access, exploration, and analysis.
Connect with Us
Examples of how our team can work with you:
- Data access and analysis support can be requested on Fred Hutch CenterNet.
- Provide advice and navigation through a 20 minute Data House Call
- Choose clinical data access to meet to Monica (Translational Analytics Manager) and Jenny (Data Governance Specialist) to discuss how we can support you in accessing and using FHCC patient data for research
- Choose data analysis to meet with Monica to discuss data analysis and visualization questions
- Consult on research projects through the TDS IRC funding mechanism
- General questions can be sent to
analytics@fredhutch.org.
Our Staff
Monica Gerber – Translational Analytics Manager
Monica has a background in biostatistics and epidemiology. She’s interested in helping researchers implement reproducible workflows for statistical analysis, working on ways to pair technical shifts with cultural shifts to advance science, and building inclusive data science communities.
Vivek Sriram – Data Scientist, Translational Analytics
Vivek has a background in biomedical informatics, statistics, and computer science. His work at DaSL focuses on developing and productizing statistical and machine learning systems for electronic phenotyping and cohort identification across the Hutch. He is passionate about simplifying the medical discovery process from bench to bedside.