An advertisement to the January 2021 Cancer Genomics Cloud Webinar showing headshot for the two speakers. The text reads: "Webinar. The Cancer Genomics Cloud: a secure and scalable cloud-based platofrm to access, share, and analyze multiomics datasets. January 27, 2021. Dave Roberson, Community Engagement Specialist; Sai Lakshmi Subramanian, Program Manager."
January 27, 2021 2:00 p.m. - 3:00 p.m. ET

Dave Roberson and Sai Lakshmi Subramanian

The Cancer Genomics Cloud’s (CGC’s) monthly webinar series is launching on Wednesday, January 27, with an overview of its platform and how users can leverage cloud computing for cancer research.

Headshots of Esmeralda Casas-Silva Ph.D., Veena Gopalakrishnan Ph.D., Helen Moore Ph.D., and Ms. Claire Blaustein
January 27, 2021 11:00 a.m. - 12:00 p.m. ET

Esmeralda Casas-Silva Ph.D., Veena Gopalakrishnan Ph.D., Helen Moore Ph.D., and Ms. Claire Blaustein

Drs. Helen Moore, Esmeralda Casas-Silva, Veena Gopalakrishnan, and Ms. Claire Blaustein will showcase the design and functionality of the NCI Cancer Moonshot Biobank website. By highlighting the challenges and successes they encountered when developing the website, their hope is that it will serve as an archetype for similar participant-engagement efforts within NCI.

NCI's Genomic Data Commons text in red. Circle with a line coming out of it, then triangle lines togehter, each intersecting piece with a around shape holding it together.
January 25, 2021 2:00 p.m. - 3:00 p.m. ET

Bill Wysocki, Ph.D.

This monthly NCI Genomic Data Commons (GDC) webinar will provide an open forum for users who have questions about GDC data, processes, or tools.

Headshot of Noemie Elhadad, Ph.D.
January 13, 2021 11:00 a.m. - 12:00 p.m. ET

Noémie Elhadad, Ph.D.

Dr. Noémie Elhadad will show how patient-record summation tools can help clinicians make sense of seemingly overwhelming amounts of patient data at the point of care.

Abstract image depicting cloud computing.
January 08, 2021 3:00 p.m. - 4:00 p.m. ET

Todd Reilly, Ph.D.

The NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative allows NIH to explore the use of cloud environments to streamline NIH data use by partnering with commercial providers. In this webinar, Dr. Todd Reilly will describe the benefits of STRIDES and how individuals and organizations can engage in this exciting initiative.

Headshot of Eimear Kenny, Ph.D.
December 10, 2020 3:00 p.m. - 4:00 p.m. ET

Eimear Kenny, Ph.D.

In this virtual lecture, Dr. Eimear Kenny will describe her research and how it accelerates the integration of genomics into clinical care, especially among diverse and underserved populations.

Professional Headshot of Dr. Suzanne Bakken
December 07, 2020 11:00 a.m. - 12:00 p.m. ET

Suzanne Bakken, Ph.D., RN, FAAN, FACMI, FIAHSI

Looking through the lens of "poetical science," Dr. Suzanne Bakken, Alumni Professor of nursing and professor of biomedical informatics at Columbia University, will describe a research program that uses information visualization to advance health equity among urban Latinos.

Scientists in a laboratory handling research specimens with pipettes.
December 04, 2020 12:00 p.m. - 1:00 p.m. ET

Sanchita Bhattacharya and Zicheng Hu, Ph.D.

In this NIAID Data Science Seminar, Sanchita Bhattacharya and Dr. Zicheng Hu will showcase findings from the meta-analysis of open-access immunological studies and secondary analysis of clinical trial data from the NIAID-DAIT funded ImmPort database. They will also present a case study using deep learning models to analyze cytometry data.

Photo of imaging researchers at work.
December 03, 2020 5:00 p.m. - 6:00 p.m. ET

On Thursday, December 3, the Imaging Data Commons (IDC) will give an overview of its portal, data sets, and capabilities at the annual Radiological Society of North America (RSNA) meeting.

Dr. Nicolas Fernandez
December 02, 2020 11:00 a.m. - 12:00 p.m. ET

Nicolas Fernandez, Ph.D.

Dr. Nicolas Fernandez will demonstrate the latest version of Clustergrammer2, a visualization tool that allows users to perform more refined clustering on cell lines and genes.