Brought to you by NumFOCUS Foundation and O’Reilly Media
The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

Disease prediction using the world's largest clinical lab dataset (sponsored by Amazon Web Services)

Cristian Capdevila (Prognos)
9:45am–9:50am Friday, August 24, 2018
Location: Grand Ballroom
Average rating: ****.
(4.00, 3 ratings)

Cristian Capdevila explains how Prognos is predicting disease by applying a combination of modern machine learning techniques and clinical expertise to the world’s largest clinical lab database and how the company is leveraging Amazon SageMaker to accelerate model development, training, and deployment.

This keynote is sponsored by Amazon Web Services.

Photo of Cristian Capdevila

Cristian Capdevila


Cristian Capdevila is principal data scientist at Prognos, where he and his fellow data scientists work alongside clinical experts to develop disease prediction products for customers in the life sciences and payer markets. Previously, Cristian was a data scientist in the ad tech space, working on customer similarity models.