AI (Artificial intelligence) / ML (Machine learning)
Horizons in Biosciences & Informatics Seminar Series (HBISS)
Overview
The purpose of HBISS is to foster interdisciplinary conversation, education, and collaboration. Experts in biosciences and informatics are invited to speak once a month and engage with NASA personnel to facilitate discussion of cutting-edge research, techniques, and methodology.
Speakers
October 13, 2023 | Foundational Models for Biomedical Imaging and Omics | Bo Wang, Departments of Computer Science and
Laboratory Medicine & Pathobiology, University of Toronto
September 15, 2023 | AI and Pervasive Sensing for Deep Space Health Monitoring | Azra Bihorac and Parisa Rashidi,
Intelligent Critical Care Center (IC3), University of Florida, UF Health
August 18, 2023 | Health Monitoring Technologies in Extreme Space and Earth Environments | Carolyn McGregor, Artificial
Intelligence for Health and Wellness
July 21, 2023 | ML, Hugging Face, Open Source, Open Science | Quentin Lhoest, Hugging Face
May 26, 2023 | Self-Driving Labs, AI, Robotics, and Physical Sciences: The Materials for Tomorrow, Today | Alan
Aspuru-Guzik, University of Toronto
March 31, 2023 | Graph AI for Biomedicine and Healthcare | Michelle Li, Harvard Medical School
February 17, 2023 | In Situ Analytics & Machine Learning for Future Planetary Science Missions | Victoria Da Poian,
MicroTel/GSFC Planetary Environment Lab, Johns Hopkins University
January 20, 2023 | Remotely Operated Cloud Labs for Automated Life Sciences | Brian Frezza, Emerald Cloud Labs
November 18, 2022 | Quantifying Behavior Using Deep Learning | Talmo Pereira, Salk Institute
October 28, 2022 |
Merging Biomedical Research and Video Game Technologies to Create Digital Twins and Ultrasound Simulation for Space Health
Training
| Clifton Garner, Victoria Perizes, Eric Gantwerker; LevelEx
September 16, 2022 | Open Science: The Next Generation | Jason Williams, Cold Spring Harbor Laboratory
August 19, 2022 | Knowledge Graphs, Biomedical Discovery, and both Terrestrial and Space Applications | Charlotte Nelson,
UC San Francisco, Mate Biosciences
June 16, 2022 | Machine Learning for 3D Epigenomics | Jian Ma, Carnegie Mellon University
May 13, 2022 | Machine Learning, Microscopy Bioimaging, Open Science, and Downstream Analysis | Florian Jug, Fondazione
Human Technopole
April 15, 2022 | Searching all the public metagenomes with FracMinHash sketching and the sourmash software | C. Titus
Brown, UC Davis
March 18, 2022 | Explainable machine learning: from theory to biomedical applications | Joseph Janizek & Ian Covert,
University of Washington
Contact
Ryan Scott (ryan.t.scott@nasa.gov), Lauren Sanders (lauren.m.sanders@nasa.gov), Sylvain Costes (sylvain.v.costes@nasa.gov)
