Cancer Genomics Consortium

Thank you for your interest in joining a CGC Working Group. Please let us know details of your interest and expertise by completing the application below. You may apply to participate in either or both Working Groups currently seeking volunteers.

All volunteers must be active CGC members and complete a conflict of interest and privacy statement annually.

Working Group invitations will be made by the end of March.

First Name *

Last Name *

Email *

Employer *

Address *

Address 2

City *

State *

Zip *

Are you currently a member of the CGC?

Yes

What is your CGC Membership Category? *
Choose 1

Office Phone Number: *

Mobile Phone Number: *

Position Title: *

Please upload your CV: *

Please upload a high resolution head shot that we can use to acknowledge any Working Group appointments on the CGC Website. Candidate reviewers will not receive this photo.

Artificial Intelligence (AI) and Machine Learning (ML) in Clinical Genomics Working Group

Despite growing interest and adoption of AI-driven tools, there is currently no clear baseline understanding of how these technologies are being implemented in clinical laboratories, nor are there widely accepted professional guidelines to support their use. This working group will develop and distribute a comprehensive survey to evaluate current knowledge, utilization, and integration of AI/ML tools in cancer genomics workflows, identify challenges and priorities for implementation, and review the literature to inform expert recommendations. The project aims to establish a foundational understanding of the current landscape, highlight gaps and barriers, and ultimately contribute to best-practice strategies for the field. Deliverables will include a peer-reviewed publication summarizing survey findings, key needs, and expert guidance.

Are you interested in joining the Artificial Intelligence (AI) and Machine Learning (ML) in Clinical Genomics Working Group? *

Yes

Why are you interested in joining the Artificial Intelligence (AI) and Machine Learning (ML) in Clinical Genomics Working Group?

Please tell us about your skills, interests, and experience that contribute to this Working Group topic:

Predisposition to Hematological Malignancies Working Group

As tumor-based genomic testing becomes more widely used, laboratories and clinicians are increasingly encountering variants that may suggest underlying germline predisposition, yet approaches to recognizing, interpreting, and reporting these findings vary across institutions. This working group will review the literature, assess current practices within the community, and develop practical guidance to support consistent identification and communication of tumor-derived variants that may indicate inherited risk with the goal of developing best practices for identifying potential inherited risk through tumor molecular profiling. Planned tasks include a survey of current laboratory approaches, educational resources, conference presentations, and a peer-reviewed manuscript to promote clarity and standardization in this evolving area.

Are you interested in joining the Predisposition to Hematological Malignancies Working Group? *

Yes

Why are you interested in joining the Predisposition to Hematological Malignancies Working Group?

Please tell us about your skills, interests, and experience that contribute to this Working Group topic:

Thank you again for your interest in the CGC. If you have any questions, please contact Karla Gay at karla@cancergenomics.org.

Consent:

By submitting your data, you give us your consent to process it in accordance with our Privacy Policy

CGC Working Group Application: February 2026