2019 Annual Conference Presentations

Sunday, April 14, 2019

1:00 p.m.- 5:00 p.m.Sunday Tutorials
Conference Tutorial Option 1: Applications for Data Science in the Pharmaceutical Industry
David Wood, Ph.D., Senior Principal, Axtria
Sravan Kumar Bhamidipati, Director, Axtria

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Conference Tutorial Option 2: Referral/Patient Sharing Data
Fred Trotter, Founder, Careset


Monday, April 15, 2019

8:45 a.m. - 9:45 a.m.

Keynote Presentation: Underscore the Golden Opportunity – The Time is Now for Enterprise Wide Data
Elenee Argentinis, Vice President, Data Strategy and Partnerships, Life Sciences, Optum

10:15 a.m. - 11:00 a.m.

General Session 1: Brand Performance Analyzer, An AI/ML Powered Solution for Identifying Opportunities to Optimize Commercial Performance
Emily Zhao, VP Advanced Analytics, IQVIA
Pankaj Gupta, Senior Principal, Commercial Services, IQVIA

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11:00 a.m. - 11:45 a.m.

General Session 2: Local Healthcare Market Analytics: Approach and Case Studies
Nilay Shastri, Sr Field Operations and Analytics Manager, Genentech
Abhishek Panditrao, Associate Principal, ZS Associates
Himanshu Patni, Manager, ZS Associates

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12:45 p.m.- 1:30 p.m.

General Session 3: Look for the Newbie: Utilizing Real World Data to Develop Leading KPIs to New Biologics Launch
Harpreet Singh, Marketing Analytics Specialist, Takeda Pharmaceuticals
Jiaran Wang, Takeda Pharmaceuticals

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10:00 a.m. - 10:45 a.m.

Applications of Machine Learning in Oncology Analytics: Combining Secondary & APLD Advanced Analytics and Primary Analytics
Igor Rudychev, AstraZeneca
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2:45 p.m.- 3:30 p.m.

General Session 5: Model and Example of Targeting and Segmentation in Care Area Specialty Pharmaceuticals with Calibrated Messaging
Mert Sahin, PhD, Chief Marketing Officer, US/CAN Imaging, GE Healthcare
Ashish Patel, Product Lead and Founder, CareSet Systems

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3:30 p.m.- 4:15 p.m.

General Session 6: Drivers of Growth Dynamics in the Oncology Marketplace: An Empirical Analysis of the Commercial Levers that Drive Product Performance
Bernie Manente, Associate Partner, FosterRosenblatt
Jerry Rosenblatt, Managing Partner, FosterRosenblatt

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Tuesday, April 16, 2019

8:45 a.m. - 9:45 a.m.

Keynote Presentation: Evolving Analytic Decision Making in a Digital Environment
Aaron Foster, VP, Business Analytics and Insights, Pfizer
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10:00 a.m.- 10:45 a.m.

TRACK A: NEXT FRONTIER ADVANCES OF MACHINE LEARNING IN PHARMA
Automated Detection of Adverse Drug Reactions Using Social Media Text Data Leveraging Natural Language Processing and Machine Learning

Ketan Walia, Senior Associate, Axtria
Rushil Goyal, Associate, Axtria

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Using Artificial Intelligence/Machine Learning for More Insightful Pipeline Marketing Decision-Making

James Bierman, Associate Principal, ZS Associates
Vikas Hegde, Data Science Manager, ZS Associates
PKS Prakash, Data Science Manager, ZS Associates

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10:45 a.m. - 11:30 a.m.

TRACK A: NEXT FRONTIER ADVANCES OF MACHINE LEARNING IN PHARMA
Unlocking Your Brand’s Hidden Potential Through Dynamic Targeting

Sreya Chatterjee, Associate Principal, Analytical Wizards
James Lin, Advisor, Analytical Wizards

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Estimating Exposure to Medicare Part D Mandated Coverage Gap Discount Using a Patient-Based Simulation Model
Patrick Thompson, Director – PECG, BristolMyersSquibb
Chad Waraska, Associate Director- VAP Analytics, BristolMyersSquibb

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1:00 p.m. - 1:45 p.m.

TRACK A: NEXT FRONTIER ADVANCES OF MACHINE LEARNING IN PHARMA
Machine Learning Techniques Deliver Granular Insights to Enable Improved HCP Marketing

Jane Portman, VP, Health Analytics, Merkle
Brian Demitros, VP, Analytics, Merkle

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Evolution and Measurement of Multi-Channel Tactics

Anvita Karara, Associate Director-Digital and Customer Experience, Boehringer Ingelheim
Sumanth Srinivas, Director, Data Strategy and Innovation, Boehringer Ingelheim

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1:45 p.m. - 2:30 p.m.

TRACK A: NEXT FRONTIER ADVANCES OF MACHINE LEARNING IN PHARMA
Application of Predictive Modeling to Define HCP Potential for Prophylactic Treatment

Tanmay Sharma, Associate Manager, Sales Analytics, Gilead Sciences
Mukesh Masand, Principal, 159 Solutions
Sagar Gulati, Consultant, 159 Solutions

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Evolution of ROI Measurement Aproaches in Digital Era

Tarun Minocha, Director, Digital Analytics & Enablement, United Health Group
Abhinav Gupta, Senior Manager, Digital Analytics & Personalization, United Health Group

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2:30 p.m. - 3:15 p.m.

TRACK A: NEXT FRONTIER ADVANCES OF MACHINE LEARNING IN PHARMA
Leveraging Event Pathways to Predict Disease Progression in Contrast to Machine Learning Classification Algorithms
Rajkumar Rajabathar (RB), Engagement Manager, Symphony Health Solutions
Karin Hayes, Principal, Symphony Health
Viswa Balasubramanian, Vice President, Symphony Health

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Optimizing Detail Allocation with Causal Uplift Modeling
Cristina DeFilippis, Senior Consultant, Deloitte Consulting
Kevin Coltin, Senior Consultant, Deloitte Consulting

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Wednesday, April 17, 2019

8:15 a.m.- 9:00 a.m.

General Session 8: Industrializing Machine Learning in Pharma: Challenges, Use Cases, and ROI
Kaiwen Zhong, Project Lead, Axtria
Ashish Sharma, Principal, Axtria
Daniel Kinney, Sr. Director, Data and Analytics Platforms, Janssen Pharmaceuticals
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9:00 a.m.- 9:45 a.m.

General Session 9: Simple Probability Models for Predicting Aggregate or Sparse Data: An Empirical Analysis of Projecting Patient Persistency
Srihari Jaganathan, UCB Inc.
Ka Lok Lee, IQVIA

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1:30 p.m.- 2:15 p.m.

Predicting Therapy Discontinuation Using Bayesian Reasoning
Jean Patrick Tsang, PhD & MBA (INSEAD), President, Bayser
John McIntosh, Associate Director Marketing Analytics, Actelion (Johnson & Johnson)

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