AI in Healthcare summit
Past Speakers
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Shameer Khader
Senior Director (AI/ML, Data Science, Digital Health and Bioinformatics)
AstraZeneca
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Ellie D. Norris
Chapter Lead for Clinical & Real-World Evidence Generation (CRWEG) Application Engineering
Merck
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Chris Hutchins
VP, Chief Data & Analytics Officer
Northwell Health
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Han Chang
Senior Director, Head of Late Stage Oncology, Translational Bioinformatics
Bristol-Myers Squibb
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Raj Nimmagadda
Global Head R&D Data Office, Data and Data Sciences
Sanofi
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Thomas Kingsley
Assistant Professor of Medicine & Biomedical Informatics
Mayo Clinic
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Amy Booth
Director, Physician Practice Transformation and Performance Analytics
UHS Hospitals
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Varun Gupta
Vice President, Enterprise Data and Analytics
Beth Israel Lahey Health
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Kapila Monga
Head of Data Science
Bon Secours Mercy Health
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Shrey Sukhadia
Assistant Director, Bioinformatics
Dartmouth-Hitchcock Medical Center
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Saeed Arasteh
Senior Data Scientist Clinical Medical and Regulatory
Novo Nordisk
Shameer Khader
Senior Director (AI/ML, Data Science, Digital Health and Bioinformatics)
AstraZeneca
Dr. Shameer Khader is currently working as a Senior Director of Data Science and Artificial Intelligence at AstraZeneca, USA. He leads a global team that focuses on leveraging trans-disciplinary (biomedical, healthcare, and clinical) big data and machine intelligence to accelerate drug discovery and development. He has more than a decade of experience in building and leading bioinformatics and data science in both academia and industry. He obtained his Ph.D. in computational biology from the National Center for Biological Sciences in India. He completed his post-doctoral training in computation genomics and precision medicine from Mayo Clinic, Rochester, MN. He has published more than 70 peer-reviewed research papers in the areas of healthcare data science, bioinformatics, drug discovery, and precision medicine. His work was featured in media outlets including Forbes, Fast Company, Bloomberg News, and Times of India. He received multiple awards for his research contributions; His work on developing an open catalog of drug repositioning has won the Swiss Institute of Bioinformatics' Bioinformatics Resource Innovation Award in 2017. Recently, he was recognized as one of the 100 Artificial Intelligence Leaders in Drug Discovery & Healthcare (DKI Global and Forbes).
Ellie D. Norris
Chapter Lead for Clinical & Real-World Evidence Generation (CRWEG) Application Engineering
Merck
Ellie D. Norris is the Innovation Chapter Lead for Clinical & Real-World Evidence Generation (CRWEG) Application Engineering at Merck with a current focus on natural language processing (NLP) use cases. She has 20 years of professional experience in scientific R&D and information technology and is passionate about exploring and implementing experimental technologies and problem-solving methods. She also serves as a co-lead of Aggregate Intellect's NLP Working Group and a co-organizer for the NYC Chapter of Women in Machine Learning and Data Science (WiMLDS). Ellie previously earned a bachelor's degree in Biochemistry from Virginia Tech and a master's degree in Bioinformatics from the University of Manchester in the United Kingdom.
Chris Hutchins
VP, Chief Data & Analytics Officer
Northwell Health
Chris is a senior health care leader with over 20 years of experience developing analytic teams, establishing data governance, data warehousing and business intelligence implementation, delivering solutions focused on patient experience, outcomes, cost, population health, quality, regulatory and risk based arrangements, revenue cycle, health system operations. He has extensive experience with organizational transformation and specializes in integrating analytic, IT and Informatics teams across organizational lines to improve solution delivery and enabling data driven insight.
Han Chang
Senior Director, Head of Late Stage Oncology, Translational Bioinformatics
Bristol-Myers Squibb
Han Chang is the Director of Head of Late Stage Oncology, Translational Bioinformatics at Bristol-Myers Squibb where he is leading a team of analysts applying cutting-edge bioinformatics, statistics, and machine learning methods. He is working with clinical and large-scale data sets from BMS’s industry-leading late-stage oncology pipeline; influencing development strategies and advancing the BMS late clinical oncology pipeline.
Raj Nimmagadda
Global Head R&D Data Office, Data and Data Sciences
Sanofi
Raj Nimmagadda is the Global Head R&D Data Office at Sanofi, leading the data and digital transformation journey by establishing data strategy and data governance framework, data policies, and procedures. Prior to this she worked at Novartis where she was responsible for Central Operational Services in leading the implementation of transformative technology solutions, development of Clinical Data and Data Analytics Strategy. Prior to this role, Raj spent several years at BioClinica (Formerly Core Lab Partners Inc.) and J&J in leadership roles of increasing responsibility in Clinical technology, Clinical data management and Submissions. She holds an MBA in Strategy and Leadership (NYU Stern School of Business) and Masters in Computers (Osmania university).