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Keynote Speakers

Keynote 1 - Thursday, April 9, 2026

Chair:   Wanjie Sun, PhD (FDA) 

Title: Evolving Role of Statisticians in the Artificial Intelligence and Digital Health Era 

Presenter:  
Mark Levenson, PhD 
Office of Biostatistics
Office of Translational Sciences
Center for Drug Evaluation and Research
U.S. Food and Drug Administration (FDA) 

Mark Levenson, PhD
Dr. Mark Levenson

Keynote Abstract: 
Like all segments of industry and science, Artificial Intelligence (AI) and digital technologies are greatly impacting medical product development. The number of submissions to the Center for Drug Evaluation and Research of the U.S. Food and Drug Administration that leverages AI is rapidly increasing. AI has roles in all phases of development, including discovery, non-clinical and clinical research, pharmacovigilance, and manufacturing. In addition to the great potential, there are unique challenges and risks to these technologies.  FDA has draft guidance that addresses considerations for AI use in regulatory decision making.

Dr. Mark Levenson is currently the Acting Office Director of the Office of Biostatistics at the Center for Drug Evaluation at the U.S. Food and Drug Administration. He has led many major pre-market and post-market statistical reviews, leading to approvals of novel drugs and to important safety warnings. He contributes to statistical policy and guidance development in the areas of regulatory evidence and real-world evidence. He is a member of the CDER Medical Policy and Program Review Council, the FDA Real-World Evidence Committee, the CBER-CDER Rare Disease Policy and Portfolio Council, and the Office of Biostatistics Statistical Policy Council. Dr. Levenson received a Ph.D. in Statistics from the University of Chicago, a B.A. in Mathematics from Cornell University, and graduated from the Bronx High School of Science. Mark is an elected fellow of the American Statistical Association.

Keynote 2 - Friday, April 10, 2026

Chair: Fang Chen, PhD (SAS Institute, Inc.)

Title: From Insight to Impact: Agentic AI, Synthetic Data, and Quantum-Enabled Statistics in Pandemic Antiviral Readiness


Presenter:  
Udo Sglavo, PhD 
Vice President
Applied Artificial Intelligence and Modeling Research and Development
SAS Institute, Inc. 

Udo Sglavo, PhD
Dr. Udo Sglavo

Keynote Abstract: 
The COVID-19 pandemic highlighted persistent challenges in therapeutic development, from fragmented data to slow statistical adaptation. This keynote explores how collaborative initiatives like the Rapidly Emerging Antiviral Drug Development Initiative (READDI) and SAS’s Applied AI & Modeling (AAIM) division are rethinking these processes. Topics include the role of agentic AI in clinical research, the use of synthetic data to accelerate and diversify model development, emerging opportunities in quantum computing for trial design, and the potential of digital twins for operational simulation. Real-world examples illustrate how advanced computation and rigorous statistics can transform readiness for future health emergencies

Dr. Udo Sglavo leads Applied Artificial Intelligence and Modeling Research and Development at SAS. With a 25-year track record of fostering technology innovation and excellence, Udo heads a team of expert developers and data scientists dedicated to pioneering cutting-edge software and leveraging advanced models to transform the way the world works. 

By imagining and building the next generation of AI-driven models and software solutions, Udo helps organizations harness the power of data and analytics to solve their toughest business challenges and outpace the world around them.​ 

Udo’s commitment to pushing the boundaries of what AI can achieve has earned him recognition as a global thought leader shaping the future of technology. In addition, Udo has written three publications and holds four patents in advanced analytics.