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Tuesday, June 21 • 2:00pm - 3:00pm
#251: Data Science, Text Analytics, and Machine Learning to Derive Insights from Clinical Quality, Compliance, and Real-World Data

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Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-22-573-L04-P ; CME 1.00; RN 1.00

This session will present examples of data science, NLP, and machine learning techniques used to unlock the value of Clinical Q&C and Real-World data and derive insights from them. No data science experience needed - come with an open mind ready to learn, contribute and apply!

Learning Objectives

Discuss how data science including text analytics/NLP and predictive modeling/machine learning can be applied to clinical quality and compliance (or real-world) data; Identify examples of use by speakers in the pharma industry, and summarize best practices and learnings from their experience; with the speakers and fellow attendees about meaningful collaboration to guide your own data science journey.


Deepak Bandyopadhyay, PhD


Unlocking Free Text Quality and Compliance Data via Text Analytics and Machine Learning
Deepak Bandyopadhyay, PhD

Data Driven Quality Risk Management
Haleh Valian, PhD

Best Practices for Evaluating Machine Learning Derived Real-World Data: Proposals to Support Regulatory Decision Making
Melissa Estevez, MS

avatar for Deepak Bandyopadhyay

Deepak Bandyopadhyay

Interim Head, Quality Analytics Data Sciences, Janssen, United States
Deepak Bandyopadhyay is a Computer Scientist by training who has spent his career developing methods and solving problems in the Life Sciences. He has worked as a Data Scientist and data science leader in many parts of the Pharma pipeline, including drug discovery, drug development... Read More →
avatar for Melissa Estevez

Melissa Estevez

Senior Quantitative Scientist, Flatiron Health, United States
Melissa is a Senior Quantitative Scientist at Flatiron Health where she focuses on the application of machine learning to real world data. Specifically, Melissa brings expertise in the underlying data and downstream analytic use cases to support development of machine learning based... Read More →

Haleh Valian

Associate Director, Quality Analytics, Biogen, United States
Haleh is the Biogen's Head of R&D Data & Quality Analytics. She has more than 21 years of expertise utilizing advanced analytics to solve challenging business problems relating to process optimization in a variety of industries, including pharma, healthcare, and finance. She has depth... Read More →

Tuesday June 21, 2022 2:00pm - 3:00pm CDT
Room 183 B McCormick Place 2301 South Indiana Avenue Gate 40 Chicago, IL 60616
  08: RD Quality-Compliance, Session |   03: Data-Tech in Clinical Trials, Session