Speakers
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