PMSA 2019 Winter Symposium



“Innovation in Analytics via Machine Learning & AI”
January 17 – 18, 2019
The Signature at MGM Grand
Las Vegas, Nevada
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Artificial intelligence and machine learning are being hailed as the future of data analytics. Computer models can analyze high volumes of real-time data to make more accurate market predictions. How are these powerful tools currently being leveraged by pharma data scientists, and what does the future hold for AI in the pharma industry?

Agenda

Thursday, January 17

7:00 am - 8:00 am Breakfast

8:00 am - 9:30 am Uncovering the Machine Learning “Black Box”: Discovering Latent Patient Insights Using Text Mining & Machine Learning
Rajkumar Rajabathar, Engagement Manager, Symphony Health Solutions
Karin Hayes, Principal, Symphony Health Solutions
Viswa Balasubramanian, Vice President of Analytics & Architecture, Symphony Health Solutions
John Ridge, Executive Director, Sales Analytics and Operations, Retrophin
9:30 am - 9:45 am Break

9:45 am - 11:15 am A Novel Patient-Physician Machine Learning Approach on Diagnosing Rare Diseases and Informing Commercial Strategies
Harietta Eleftherochorinou, Senior Principal, Machine Learning & AI Solutions, IQVIA
11:15 am - 12:15 pm What Makes an AI Strategy a Success? Pharma Case: NLP to Understand HCP
François-Xavier Rousselot, VP of Data Analytics and AI/ML Strategy, Aptus Health
12:15 pm - 1:30 pm Lunch

1:30 pm - 2:30 pm Leveraging Informed HCP Migration to Optimize Targeting and Multi-Channel Spend
Kent Groves, PhD, VP Global Health Strategy, Merkle Health
Olympia Mantsios, Associate Director, Analytics, Merkle Health
2:30 pm - 3:30 pm Patient Co-pay Card Optimization: An Integrated Approach Leveraging Machine Learning/AI
John Lin, SVP, Practice Lead, Strategy & Insights – Analytic Sciences, Epsilon Health
Eleanor Tipa, Vice President, Analytic Sciences, Epsilon Health
3:30 pm - 3:45 pm Break

3:45 pm - 5:00 pm Panel Discussion: Conceptualizing Data Science Capabilities and Organizational Structure Within Pharma Manufacturers
5:30 pm - 6:30 pm Reception


Friday, January 18

7:00 am - 8:00 am Breakfast

8:00 am - 9:30 am Machine Learning Applications in Commercial Life Sciences
Sarvan Kumar Bhamidipati, Director, Decision Science, Axtria
Vijay Chickarmane, Manager, Decision Science, Axtria
9:30 am - 9:45 am Break

9:45 am - 11:15 am The Two Biggest Problems of Predictive Modeling with Machine Learning - What They are and How to Solve Them
JP Tsang, President, Bayser
11:15 am - 12:15 am Machine Learning Against the Provider Graph
Fred Trotter, CTO, CareSet
12:15 am - 1:30 pm Lunch

1:30 pm - 2:30 pm Use of Machine Learning and Patient Level Clinical Encounter Cues to Maximize Value of Sales Force Activities
Arif Nathoo, CEO and Co-Founder, Komodo Health
2:30 pm - 2:45 pm Break

2:45 pm - 3:45 pm Application of NLP & PCA in Life Sciences & Healthcare
Robin Varghese, Principal, CustomerInsights.AI
3:45 pm Wrap Up