Speakers

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Peter Henstock
Machine Learning & AI Lead
Pfizer

Day Two

Thursday 28 January 2021

1:00 pm | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

11:30 am | Case Study – Using AI to Predict the Disease-Gene Combinations

Kevin Hua
Senior Manager AI/Machine Learning
Bayer

Day One

Wednesday 27 January 2021

9:00 am | Case Study – Investigating Advanced AI Technology for Protein Design

Day Two

Thursday 28 January 2021

9:00 am | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Laurent Audoly
Co-Founder
Parthenon

Day Two

Thursday 28 January 2021

4:30 pm | Chair's Closing Remarks & End of Conference

3:30 pm | Afternoon Roundtables

9:00 am | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Paul Nioi
Senior Director Research
Alnylam Pharmaceuticals

Day One

Wednesday 27 January 2021

11:30 am | Case Study - Use of AI & ML Approaches to Extract Features From MRI Scans to Discover Drug Targets for NASH

Day Two

Thursday 28 January 2021

9:00 am | 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

9:00 am | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Prasun Mishra
Founder, CEO
Agility Pharmaceuticals

Day One

Wednesday 27 January 2021

3:45 pm | 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

2:15 pm | 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

1:00 pm | 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

1:00 pm | 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

11:00 am | Case Study – Dirty Data in a Black Box: Uses, Abuses and Misuses of AI/ML Technology in Drug Development

1:00 pm | Panel Discussion – The Black Box Problem - Explainability, Interpretability and Reproducibility of Machine Learning and AI: Concepts to Build Trust Towards AI/ML

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

12:00 pm | Case Study – Using Neural Networks to Predict & Optimize Protein Production in Bioreactors

3:00 pm | Panel Discussion – AI ML Lessons Learned Throughout Lockdown

Sanna Herrgard
Competency Development Specialist
Novo Nordisk

Day Two

Thursday 28 January 2021

9:45 am | Case Study – Talking Data - Using ML to Automate Coding of Concomitant Medications

Shameer Khader
Senior Director Data Science
AstraZeneca

Day One

Wednesday 27 January 2021

3:00 pm | Panel Discussion – AI ML Lessons Learned Throughout Lockdown

Day Two

Thursday 28 January 2021

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

Natnael Hamda
AI Research Fellow, Clinical Pharmacology
Astellas Pharma

Day One

Wednesday 27 January 2021

9:30 am | Advancing Drug Discovery Using Knowledge-Graph Based ML and AI

Adrian Perez Galvan
Senior Research Scientist
Vertex

Day Two

Thursday 28 January 2021

9:00 am | Panel Discussion – Challenges with Data: Validation, Access, Quality & Real-World Applications

Katherine Matsumoto
Director, Product Management
Recursion Pharma

Day One

Wednesday 27 January 2021

2:00 pm | Case Study: Pivoting a General AI Drug Discovery Approach to Tackle the Urgent Need for COVID-19

3:00 pm | Panel Discussion – AI ML Lessons Learned Throughout Lockdown

Dr Neil Thompson
Chief Scientific Officer
Healx

Day One

Wednesday 27 January 2021

10:00 am | Using AI to Scale Drug Discovery for Rare Diseases

Steve Smith
Principal Computational Biology Data Scientist
Teva Pharmaceuticals

Day One

Wednesday 27 January 2021

1:30 pm | Using Machine Learning and Artificial Intelligence to Prioritize Rare & Orphan Disease Drug Candidates