NIA Artificial Intelligence Working Group Webinar: “Accelerating Bio Discovery with Machine Learning”
October 16, 2020
01:00 p.m. - 02:00 p.m.
ET
Virtual
Machine learning is currently playing an important role in life sciences, and recent advances are producing incredible results in consumer applications (e.g. photo recognition, language translation).
In this webinar, Dr. Philip Nelson, director of engineering in Google Research, will speak on machine learning and discuss how he and his Google Accelerated Sciences translational research team:
- Transform science problems into data problems
- Apply Google’s scaled computation, data-driven engineering, and machine learning to accelerate discovery
- Use machine learning and advanced computational techniques to accelerate bio discovery and consequently address science and healthcare challenges
Philip Nelson
Dr. Philip Nelson is a director of engineering in Google Research. He joined Google, Inc. in 2008 and currently leads the Google Accelerated Sciences team.
Upcoming Events
- Cancer Research Data Commons and Other NCI Infrastructures in Support of Data ScienceSeptember 19, 2021AttentiveChrome: Deep Learning for Predicting Gene Expression from Histone ModificationsSeptember 22, 2021“Le Grand et Le Petit”: Splicing Factors SF3B1 and SUGP1 and Their Cancer Mutations Leading to Aberrant Acceptor UsageSeptember 22, 2021The Future of Clinical Trial Data Sharing.... The Art of The PossibleSeptember 23, 2021Genomic Data Commons Single Cell RNA-Seq SupportSeptember 27, 2021Virtual Workshop on Next-Generation Sequencing and Radiomics: Resource Requirements for Acceleration of Clinical Applications Including AISeptember 29, 2021 - September 30, 2021