NCI Data Jamboree (Project Abstract Submission): Submission #12
Submission information
Submission Number: 12
Submission ID: 185975
Submission UUID: c3fe892e-b31d-4429-8500-fbfe3c4a71d5
Submission URI: /nci/datajamboree/abstractsubmission
Submission Update: /nci/datajamboree/abstractsubmission?token=puNDA9vb_sGDDpbMWWIsjA-v0SXFGKcXwn3ZNO548xY
Created: Wed, 07/08/2026 - 10:26
Completed: Wed, 07/08/2026 - 10:36
Changed: Wed, 07/08/2026 - 10:36
Remote IP address: 10.208.28.146
Submitted by: Anonymous
Language: English
Is draft: No
Webform: NCI Data Jamboree (Abstracts)
Submitted to: NCI Data Jamboree (Project Abstract Submission)
Presenter Information
Theodore
L
Reed
Ph.D.
Postdoctoral Fellow
National Cancer Institute, Center for Cancer Research
Frederick
Additional Authors
Abstract Information
Employing statistical, computational, and informatics tools, algorithms, and methods to integrate or analyze data
{Empty}
Project Seeker Abstract
I am a second year postdoctoral fellow in the Cancer Innovation Laboratory in the Center for Cancer Research of the NCI with experience coding in both R and Linux. I have certifications and have completed coursework in machine learning algorithms and single cell RNA-sequencing analysis, and have performed the following types of data analyses on published and pre-publication data: microbiome 16s RNA-seq, bulk RNA-seq, single cell RNA-seq, additional statistical analyses. Participating in the jamboree will allow me to collaborate and network with other people working with computational approaches to cancer research, learn from those who have more experience and skill than me, and learn more about how people have made careers out of computational work so that I can take a similar path. From this jamboree, I hope to achieve connections with people in this region that will help me sharpen my computational skills and expand my community of computaionalists that can be used for troubleshooting, support, and idea generation, thus improving our collective approach and implementation of computational biology in the cancer field.