Seminars and Other Events
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 members of the Open Science Data Repository’s Analysis Working Group (OSDR-AWG) and the public to facilitate discussion of cutting-edge research, techniques, and methodology.
From March 2022 through February 2025, the HBISS series was designed exclusively for an internal NASA audience. Beginning in April 2025, the series will be open to the public and the broader OSDR-AWG community. Please see a list of events below.
Open to the OSDR-AWG
April 25, 2025 | Precision Medicine through Leveraging Clinical and Molecular Data to Advance Women’s Health | Marina Sirota and Tomiko Oskotsky, UCSF
Internal to NASA
February 14, 2025 | Towards Cardiac Digital Twins: Using Models to Improve Monitoring, Forecasting, and Understanding of the Heart | Steven Niederer, Imperial College London, Alan Turing Institute
January 17, 2025 | Precision Medicine through Leveraging Clinical and Molecular Data to
Advance Women’s Health | Luciano Martelotto, Faculty of Health and Medical Sciences at University of Adelaide; Christopher Mason and Jiwoon Park, Weill Cornell Medicine
December 20, 2024 | Anonymous Synthetic Data Era, No Reason to Risk Patient Re-Identification | Pierre-Antoine Gourraud, Faculty of Medicine of Nantes University
August 30, 2024 | In Situ Science Analysis, an Upcoming Antarctic Mission, and Microbiological Decontamination/Identification | Dr. Ilya Digel and Atakan Tepecik; FH Aachen University of Applied Sciences
August 2, 2024 | Digital Twin of the Fruit Fly Brain and Body | Dr. Srini Turaga, HHMI Janelia Research Campus
June 21, 2024 | AI/ML for Space Biology: From the ISS to Education to Fundamental Discoveries | Dr. James Casaletto, Blue Marble Space Institute of Science, AI4LS at ARC
April 26, 2024 | Predictive Modeling and Reliable Biomarker Discovery in Clinical Omics Studies | Brice Gaudielliere, Stanford University & Julien Hédou, Surge.care
March 29, 2024 | Spaceborne Computer: Advancing Biosciences on the Edge of the Edge on the ISS | Mark Fernandez, Hewlett Packard Enterprise
February 2, 2024 | Generalist Medical Artificial Intelligence | Michael Moor, Stanford Computer Sciences Department
December 8, 2023 | Bioimaging & ML Future: A Journey from Napari to Omega and Beyond | Loïc Royer, Chan Zuckerberg Biohub
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)
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