Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Balasubramanian Narasimhan

Balasubramanian Narasimhan
Senior Research Scientist , Stanford University

Website

Balasubramanian Narasimhan is a senior research scientist in the Department of Statistics and the Department of Biomedical Data Sciences at Stanford University and the director of the Data Coordinating Center within the Department of Biomedical Data Sciences. His research areas include statistical computing, distributed computing, clinical trial design, and reproducible research. Balasubramanian coteaches a computing for data science course with John Chambers, an inventor of the S language.

Sessions

5:10pm–5:50pm Wednesday, March 7, 2018
Distributed clinical models: Inference without sharing patient data
Big data and data science in the cloud, Data science and machine learning, Platform security and cybersecurity
 Location: LL20 D
Balasubramanian Narasimhan (Stanford University), John-Mark Agosta (Microsoft), Philip Lavori (Stanford University)
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Clinical collaboration benefits from pooling data to train models from large datasets, but it's hampered by concerns about sharing data. Balasubramanian Narasimhan, John-Mark Agosta, and Philip Lavori outline a privacy-preserving alternative that creates statistical models equivalent to one from the entire dataset. Read more.