NCI Data Jamboree (Project Abstract Submission): Submission #61

Presenter Information
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First Name: Candice Francheska
Middle Initial: {Empty}
Last Name: Tambaoan
Degree(s): MPH
Position/Title/Career Status: Early Career Researcher
Organization: N/A
Organization Address:
Malden, MA

Email: cfbt@bu.edu

Additional Authors
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List of Additional Authors:
{Empty}


Abstract Information
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Abstract Category: Employing statistical, computational, and informatics tools, algorithms, and methods to integrate or analyze data
Abstract Keywords: Real World Data, Genomics, Biomarkers, Disease Monitoring
Abstract Title: Applying as a Project Seeker
Abstract:
Experience and Expertise: 
- My background is in molecular biology, genetics, epidemiology, and biostatistics
- I can code in R, SAS, and Python. Can perform longitudinal data analysis, survival analysis, regression models, among others. 
- Can wrangle and analyze with real world (e.g. Flatiron, SEER, EHR, TCGA) and clinical trial data. 
- Worked as a data scientist for an NGS cancer diagnostic company, mainly focusing on the applications of liquid biopsy in treatment response monitoring. Also worked on the application of comprehensive genomic profiling data in patient selection, resistance monitoring, and biomarker development. 
Why I want to participate in the jamboree:
- I would like to join this event because it offers a unique chance to work directly on cancer datasets alongside experienced researchers. It is also a good opportunity to learn from my fellow researchers, especially those coming from different backgrounds. Lastly, I believe that this event can lead to projects that can make substantial impact on patient lives.
What I hope to achieve: 
- I hope to join a team where I can contribute my analytical skills and expertise meaningfully. 
- I hope to expand my exposure to other data types and repositories
- I hope to build connections within the research community and explore whether the work can lead to a publication or can extend into an on-going collaboration beyond the event itself.