XLDB-2018 Agenda
Meeting Location
The 11th Extremely Large Databases Conference will take place at Stanford University's Paul Brest Hall, Munger Graduate Residencies from April 30 - May 2, 2018
April 30 - May 2, 2018 Paul Brest Hall
| Monday, April 30, 2018 | |||
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| 9:00 am | 15   |
Welcome, Conference Introductions, Logistics | Speaker: Jacek Becla (XLDB2018 Chair) |
| Healthcare Session 1 | |||
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Modern healthcare is undergoing a revolution caused by the advent of digital data capture and advanced analytics. This session will explore how practitioners are using extremely large databases and machine learning to take on these challenges. |
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| 9:15 am | 15 |
Introduction, Intersection of Healthcare, Machine Learning and Big Data | Speaker: Somalee Datta (Stanford) |
| 9:30 am | 30 |
Nigam Shah (Biomedical Informatics, Stanford) |
Chair: Somalee Datta |
| 10:00 am | 30 |
Manuel Rivas (Biomedical Data Science, Stanford Medicine) |
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| 10:30 am | 20 | coffee break | |
| Special Session: Collaboration and Big Data | |||
| 10:50 am | 20 |
David Glazer (Verily Life Sciences) |
Chair: Somalee Datta |
| 11:10 am | 20 |
Ian Mathews (Redivis) |
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| 11:30 am | 20 |
Chaitanya Baru (NSF) Common Model Infrastructure...
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| Data Panel | |||
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Fielding challenges going from experiments to products: This data panel gathers a group of technologists and scientists to discuss the challenges they face in going from an idea to a product. The discussion will be focused around FAIR data (Findable, Accessible, Interoperable and Reusable), reproducible analytics, and how regulatory guidelines help or hinder. |
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| 11:50 am | 40 |
Jessilyn Dunn (Neuromuscular Biomechanics Lab, Stanford) Priya Desai (Stanford Center Genomics and Personalized Medicine) Christine Kirkpatrick (National Data Service, UCSD) |
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| 12:30 pm | 60 | lunch | |
| Healthcare Session 2 | |||
| 1:30 pm | 30 |
Sujit Dey (Center for Wireless Communications, UC San Diego) |
Chair: K-T Lim (SLAC) |
| 2:00 pm | 30 |
R. Adams Dudley (School of Medicine, UCSF) |
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| 2:30 pm | 30 |
Mohammad Adibuzzaman (Healthcare Engineering, Purdue) |
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| 3:00 pm | 30 |
Duan Xu (UCSF School of Medicine) and New Frontiers in Medical Imaging in the Age of Big Data and Precision Medicine |
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| 3:30 pm | 20 | coffee break | |
| Machine Learning Session 1 | |||
| 3:50 pm | 10 | Introduction | Speaker: Arun Kumar (UCSD) |
| 4:00 pm | 30 |
Frank Nothaft (Databricks) |
Chair: Arun Kumar |
| 4:30 pm | 30 |
Tim Kraska (MIT) |
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| 5:00 pm | 30 |
Peter Bailis (DAWN project, Stanford) |
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| 5:30 pm | 90 | networking reception | |
| Tuesday, May 01, 2018 | |||
| Machine Learning Session 2 | |||
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This session dives deeper into the technology and tools for applying machine learning to large-scale structured data. |
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| 9:00 am | 15 | Introduction | Speaker: Paul Brown (Teradata) |
| 9:15 am | 25 |
Brian Granger (co-founder Jupyter Project, CalPoly) |
Chair: Paul Brown |
| 9:40 am | 25 |
Neoklis Polyzotis (Google) |
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| 10:05 am | 25 |
Michael Mahoney (ICSI and Department of Statistics, UC Berkeley) |
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| 10:30 am | 20 | coffee break | |
| 10:50 am | 25 |
Surajit Chaudhuri (Microsoft Research) What Data Platforms can do for Machine Learning Workloads... |
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| 11:15 am | 25 |
Ioannis Papapanagiotou (Netflix) |
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| 11:40 am | 25 |
Ben Nachman (LBNL/CERN) |
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| 12:05 pm | 40 | Machine Learning Panel | Chair: Paul Brown |
| 12:45 pm | 60 | lunch | |
| 1:45 pm | 30 |
Lightning talk winner Ozgun Erdogan (Citus Data Inc.) | Chair: K-T Lim (SLAC) |
| Lightning Talks | |||
| 2:15 pm | 30 | Lightning talk winner Stephen Brobst (Teradata), Digital Twins and the Future of Analytics | |
| 2:45 pm | 40 |
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| 3:25 pm | 20 | coffee break | |
| Internet of Things (IoT) Session | |||
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The Internet of Things provides vast amounts of data. This session explores the specialized database and analytics needs and solutions in this application area. |
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| 3:45 pm | 5 | Introduction | Speaker: Dhruba Borthakur (Rockset) |
| 3:50 pm | 30 |
Ian Willson (Boeing) IoT @ Boeing: From Flight Data Recorders to Factory RFID Analytics | Chair: Dhruba Borthakur |
| 4:20 pm | 30 |
Sila Kiliccote (Grid Innovations, DOE) | |
| 4:50 pm | 30 |
Jim Green (Cisco) IoT Makes Big Data Look Small | |
| 5:20 pm | adjourn | ||
| Wednesday, May 02, 2018 | |||
| Lightning Talks | |||
| 9:00 am | 45 |
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Chair: K-T Lim (SLAC) |
| Machine Learning Session 3 | |||
| 9:45 am | 30 |
Bill Howe (University of Washington) Machine Learning meets Data Curation: Automatic Validation of... | Chair: Arno Candel (H2O.ai) |
| 10:15 am | 20 | coffee break | |
| 10:35 am | 30 | Ion Stoica (RISELab, Databricks, Berkeley) Ray: A system for distributed AI... | |
| 11:05 am | 30 | Rajat Monga (TensorFlow, Google) Challenges in Machine Learning Systems... | |
| 11:35 am | 30 | Jerry Pan (Facebook) Machine Learning at Facebook... | |
| 12:05 pm | 20 | Machine Learning Panel | |
| 12:25 pm | 10 | Closing remarks | Speaker: K-T Lim |
| 12:35 pm | Lunch | ||
| 1:35 pm | adjourn | ||