Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Vishakha Sharma

Vishakha Sharma
Data Scientist, Roche Molecular Solutions

Website

Vishakha Sharma is a data scientist for diagnostic information solutions at Roche, where she leads advanced analytics initiatives such as natural language processing (NLP) and machine learning (ML) to discover key insights improving NAVIFY product portfolio, leading to better and more efficient patient care. Vishakha has authored 40+ peer-reviewed publications and proceedings and has given 15+ invited talks. She serves on the program committee of the ACM-W, AMIA, and ACM-BCB. Her research work has been funded by the NIH Big Data to Knowledge (BD2K) initiative to build an NLP precision medicine software to automate molecular and clinical information extraction, categorization, and ranking of clinical evidence associated with biomarkers that predict response to cancer therapies. She holds a PhD in computer science.

Sessions

4:20pm–5:00pm Wednesday, March 27, 2019
Spark NLP: How Roche automates knowledge extraction from pathology and radiology reports
Data Science, Machine Learning & AI
 Location: 2009
Secondary topics:  Deep Learning, Health and Medicine, Text and Language processing and analysis
Yogesh Pandit (Roche), Saif Addin Ellafi (John Snow Labs), Vishakha Sharma (Roche Molecular Solutions)
Average rating: ****.
(4.67, 3 ratings)
Yogesh Pandit, Saif Addin Ellafi, and Vishakha Sharma discuss how Roche applies Spark NLP for healthcare to extract clinical facts from pathology reports and radiology. They then detail the design of the deep learning pipelines used to simplify training, optimization, and inference of such domain-specific models at scale. Read more.