Data Science Seminar Series
Events by this organizer
Topic
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Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
Cloud
Data Management
Data Resources
Data Science
Flow Cytometry
Genomics
Image Analysis
Microbiome
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Programming
Proteomics
Sequencing Technologies
Single Cell RNA SEQ
Single Cell Technologies
Spatial Transcriptomics
Statistics
Transcriptomics
Variant Analysis
Format
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Distinguished Speaker
Lecture
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BTEP
BYOB
CBIIT
CCR Single Cell Analysis and Sequencing Facilities
CDSL
Data Science Seminar Series
Data Sharing and Reuse Seminar Series
Earl Stadtman Investigator Program
FNL Science and Technology Group
Frederick Faculty Seminar Series
HPC Biowulf
Laboratory of Cell Biology (LCB)
Molecular Discovery Seminar Series
NCI
NCI and the Society for Immunotherapy of Cancer (SITC)
NCI CCR Liver Cancer Program (LCP)
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI Genomic Data Commons
NCI SS/SC
NHGRI
NHLBI
NHLBI Proteomics Core
NIA
NIA Artificial Intelligence Lecture Series
NIAID
NICHD
NIDA
NIDCR
NIH
NIH HPC
NIH Metabolomics Scientific Interest Group
NIH Office of Data Science Strategy (ODSS)
NIH STRIDES
NIH Training Library
NIH.AI
Office of Cancer Clinical Proteomics Research
Qlucore
Scientific Library at Frederick
Single Cell Users Group
Systems Biology Interest Group
The NIH Metabolomics Interest Group
Past & Future Events
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Only Past Events
Only Future Events
may
18may1:00 pm2:00 pmThe ATOM Molecular Design Approach for Accelerated Drug Discovery
Event Details
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
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Event Details
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.
Register Here
RegisterTime
(Wednesday) 1:00 pm - 2:00 pm
Location
Online
Organizer
Data Science Seminar Series
19may1:00 pm2:30 pmSpecial Lecture Series: DataMatters—Leveraging Big Data for Impact on Cancer
Event Details
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
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Event Details
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.
Register Here
RegisterTime
(Thursday) 1:00 pm - 2:30 pm
Location
Online
Organizer
Data Science Seminar Series
june
15jun11:00 am12:00 pmCIViC—Democratizing Access to Cancer Variant Interpretations
Event Details
During this seminar, Washington University in St. Louis’ Dr. Obi L. Griffith will present CIViC: an
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Event Details
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.
Register Here
RegisterTime
(Wednesday) 11:00 am - 12:00 pm
Location
Online
Organizer
Data Science Seminar Series