Presentation/Conference
Headshot of Keyvan Farahani
September 19, 2021 2:15 p.m. - 3:45 p.m. ET

Keyvan Farahani, Ph.D.

Dr. Kevyan Farahani, the lead of the NCI Imaging Data Commons, will present NCl's cancer data science resources that support the imaging informatics community at the Conference on Machine Intelligence in Medical Imaging.

Headshot of Dr. Jay Ronquillo
September 14, 2021 1:00 p.m. - 4:00 p.m. ET

Dr. Jay Ronquillo

During the 2021 Observational Health Data Sciences and Informatics Symposium, NIH Data Scholar Jay Ronquillo will share his research on the current state of using NIH and NCI resources to drive precision medicine for cancer patients.

Male child uses stethoscope to listen for teddy bear's pulse. Child sits on adult male's lap.
September 13, 2021 2:00 p.m. - 3:00 p.m. ET

Attend this webinar to learn more about foundational goals, vision, and current progress within two of the Childhood Cancer Data Initiative’s (CCDI’s) programs. CCDI is building a community centered around childhood cancer care and research data.

Black background homing in on a lighted cloud in the center; appears as if it was in space, dark background with blue light around the cloud.
September 13, 2021 - September 14, 2021

Bioinformaticians, computational biologists, and data scientists will join forces with university/college students, faculty, and researchers to gain insights into the barriers toward equitable access to cloud resources.

Headshot of Jujun Zhang
September 10, 2021 3:00 p.m. - 4:00 p.m. ET

Jujun Zhang

During the latest Containers and Workflow Interest Group (CWIG) webinar, Jujun Zhang, a bioinformatics manager at the Ontario Institute for Cancer Research will introduce WorkFlow Package Manager (WFPM) – an open-source command line interface (CLI) tool that provides reusable code and best practices assistance throughout the development lifecycle.

Headshot of Purvesh Khatri, Ph.D.
September 10, 2021 12:00 p.m. - 1:00 p.m. ET

Purvesh Khatri, Ph.D.

In the September NIH Data Sharing and Reuse Seminar, Dr. Purvesh Khatri will discuss how heterogeneity (i.e., variability) in public data can help identify disease signatures and be used to make translational medicine better, including for cancer.

The words "Cancer Moonshot Progress" are illustrated against a navy-blue background.
September 09, 2021 12:00 p.m. - 1:00 p.m. ET

NCI Director Dr. Ned Sharpless, NCI Deputy Director Dr. Dinah Singer, and co-chairs/members of the Blue Ribbon Panel (BRP) will reflect on the BRP’s recommendations, share progress, and discuss future directions and potential for Cancer Moonshot℠ Initiatives.

The Exploration of Pan-Cancer Dysregulated Pathways and PolyTherapy AI | Seven Bridges CGC Webinar Series | Wednesday, August 25, 2 p.m. ET/11 a.m. PST/8p.m. GST
August 25, 2021 2:00 p.m. - 3:00 p.m. ET

Margaret Liñán, MPH MS

This month, the NCI Cancer Research Data Commons Cancer Genomics Cloud (CGC) webinar will showcase a pan-cancer case study leveraging the cloud’s open access data, PolyTherapy AI, to develop an AI platform for multi-omics combination drug treatment.

The Seven Bridges Cancer Genomics Cloud Summer Syposium (August 18, 12:00 p.m. ET)
August 18, 2021 12:00 p.m. - 2:30 p.m. ET

Jeffrey Grovers, Ph.D., Soner Koc, M.S., Manisha Ray, Ph.D., Ana Stankovic, Dalibor Veljkovic, M.Sc., Nevena Vukojicic, M.Sc.

During the first annual Cancer Genomics Cloud (CGC) Summer Symposium, Seven Bridges experts will focus on how epigenomics, image processing using machine learning, and single-cell analysis can be enhanced through the NCI Cloud Resource CGC platform.

Headshot of Arjun Krishnan Ph.D.
August 13, 2021 12:00 p.m. - 1:00 p.m. ET

Arjun Krishnan, Ph.D.

In the August NIH Data Sharing and Reuse Seminar, Dr. Arjun Krishnan will present recent work from his group on developing machine learning approaches to address fundamental challenges in using omics and biomedical data to effectively drive research. He will also discuss the need for improving advanced research training in biological data analysis by formalizing concepts in statistical procedures, study design, data/code management, critically consuming data-driven findings, and reproducible research.