Speakers

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Peter Henstock
Machine Learning & AI Lead
Pfizer

Day One

Wednesday 27 January 2021

11:15 am | Case Study – Using AI to Predict the Disease-Gene Combinations in Future Clinical Trials

Day Two

Thursday 28 January 2021

10:45 am | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

Kevin Hua
Senior Manager AI/Machine Learning
Bayer

Day One

Wednesday 27 January 2021

1:15 pm | Case Study – Investigating Advanced AI Technology for Protein Design

Day Two

Thursday 28 January 2021

1:00 pm | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Ranga Gudivada
Director Clinical Innovation Strategy, Emerging Tech
Eli Lilly

Day Two

Thursday 28 January 2021

10:45 am | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

Laurent Audoly
Co-Founder
Parthenon

Day Two

Thursday 28 January 2021

4:00 pm | End of Conference

3:00 pm | Afternoon Roundtables

1:00 pm | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Paul Nioi
Senior Director Research
Alnylam Pharmaceuticals

Day One

Wednesday 27 January 2021

3:00 pm | Case Study - Use of AI and ML approaches to extract features from MRI scans to discover drug targets for NASH

Day Two

Thursday 28 January 2021

1:00 pm | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Jagdeep Podichetty
Scientific Director for Quantitative Medicine
Critical Path Institute

Day Two

Thursday 28 January 2021

1:00 pm | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Prasun Mishra
Founder, CEO
Agility Pharmaceuticals

Day One

Wednesday 27 January 2021

9:45 am | Case Study – The AI Approach Being Used by The AAPM Coronavirus Taskforce During the Pandemic

Sakshi Sardar
Quantitative Medicine Scientist
Critical Path Institute

Day Two

Thursday 28 January 2021

11:30 am | Strategies for Advancing the Use of AI/ML to Evaluate Digital Health Technologies (DHTs) for Drug Development: Case Study in Parkinson’s Disease

Uli Schmitz
Senior Director - Structural Chemistry Structural Chemistry
Gilead Sciences

Day Two

Thursday 28 January 2021

10:45 am | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

Michael Frank
Senior Director, Breakthrough Change Studio
Pfizer

Day Two

Thursday 28 January 2021

10:45 am | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

Rafael Depetris
Principal Scientist & Structure Based Drug Design Lead Molecular Oncology
Kadmon

Day Two

Thursday 28 January 2021

1:45 pm | Case Study – Dirty Data in a Black Box: Uses, Abuses and Misuses of AI/ML Technology in Drug Development

10:45 am | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

Rasmus Hogreffe
Former Head of Virtual Clinical Trials
Leo Innovation Lab

Day Two

Thursday 28 January 2021

9:30 am | Case Study - Using AI & ML to Boost Participant Engagement in Clinical Trials

Ronald Dorenbos
Former Associate Director, Materials & Innovation
Takeda

Tudor Oprea
Professor - Medicine & Chief of Translational Informatics Division & Internal Medicine
University of New Mexico

Felipe Mello
Data Scientist
Teva Pharmaceuticals

Day One

Wednesday 27 January 2021

3:30 pm | Case Study – Using Neural Networks to Predict & Optimize Protein Production in BioreactorsI

9:00 am | Panel Discussion – AI ML Lessons Learned Throughout Lockdown

Sanna Herrgard
Competency Development Specialist
Novo Nordisk

Day One

Wednesday 27 January 2021

9:00 am | Panel Discussion – AI ML Lessons Learned Throughout Lockdown

Day Two

Thursday 28 January 2021

9:00 am | Case Study – Using ML to Automate Coding of Concomitant Medications

Shameer Khader
Senior Director Data Science
AstraZeneca

Day One

Wednesday 27 January 2021

1:45 pm | Case Study - Designing Better Trials Using Real-World Evidence and Clinical Intelligence

9:00 am | Panel Discussion – AI ML Lessons Learned Throughout Lockdown

Day Two

Thursday 28 January 2021

10:00 am | Case Study – Applications of Combining AI and Single Cell Sequencing 

Ameya Phadke
Senior Manager of Tech & Digital Partnerships
Chiesi

Natnael Hamda
AI Research Fellow, Clinical Pharmacology
Astellas Pharma

Day One

Wednesday 27 January 2021

11:45 am | Advancing Drug Discovery Using Knowledge-Graph Based ML and AI

Adrian Perez Galvan
Senior Research Scientist
Vertex

Day Two

Thursday 28 January 2021

1:00 pm | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications