Events by this organizer

During the May Accelerating Therapeutics for Opportunities in Medicine (ATOM) Webinar Series, discover how computing and machine learning can accelerate molecular optimization for cancer and infectious disease therapeutics.

The ATOM Consortium is a public-private partnership whose mission is to transform drug discovery by accelerating the development of more effective therapies for patients.

This webinar will demonstrate how ATOM strives to:

• speed up molecular optimization for applications ranging from cancer to infectious disease therapeutics with the help of computing and machine learning,
• establish multiparameter property optimization across efficacy, safety, pharmacokinetics, and developability, and,
• develop systems with the potential to guide and optimize experimental data collection and design validation.

Presenter:

Mr. Jim Brase is the deputy associate director for computing at Lawrence Livermore National Laboratory (LLNL). He leads LLNL research in the application of high-performance computing, large-scale data science, and simulation to a broad range of national security and science missions. Mr. Brase is also co-lead of the ATOM Consortium for computational acceleration of drug discovery and on the leadership team of the COVID-19 HPC Consortium. His research interests focus on the intersection of machine learning, simulation, and high-performance computing. He is currently leading efforts on large-scale computing for life science, biosecurity, and nuclear security applications.

Data is everywhere! In cancer research, data has had an impact on everything from how cancer is diagnosed to how decisions are made about prognosis and treatment. To illustrate the ubiquity of data and its influence on cancer research, Dr. Jill Barnholtz-Sloan will present, “DataMatters—Leveraging Big Data for Impact on Cancer.”

In her lecture, she’ll:

•  focus on how big data has impacted cancer to date and its impact on future research,
•  use specific examples from her work researching brain tumors, and
•  discuss big data resources available through NCI with detailed descriptions.

This presentation is part of the 2022 Special Lecture Series hosted by Big Data Training for Cancer Research, a program of Purdue University’s Center for Cancer Research.

Presenter:

Jill Barnholtz-Sloan, Ph.D.

Dr. Barnholtz-Sloan is the associate director for the Informatics and Data Science Program at NCI CBIIT and a senior investigator for NCI’s Division of Cancer Epidemiology and Genetics.

During this seminar, Washington University in St. Louis’ Dr. Obi L. Griffith will present CIViC: an open access, open source, community-driven web resource for clinical interpretation of variants in cancer. The goal of this resource is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.

The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.

Presenter:

Obi L. Griffith, Ph.D.

Dr. Griffith is an associate professor of medicine (oncology) and the assistant director of the McDonnell Genome Institute at Washington University in St. Louis School of Medicine. He has his doctorate in medical genetics from the University of British Columbia in Vancouver, Canada. Dr. Griffith’s research interests include cancer informatics, clinical statistics, and breast cancer.