Augmented Intelligence in Drug Discovery Xchange
East Coast 2021
May 18 & 20
Welcome to hubXchange’s East Coast Augmented Intelligence (AI) in Drug Discovery Xchange 2021, bringing together executives from pharma and biotech to address and find solutions to the key issues faced in AI-led drug discovery.
Discussion topics will cover Data Quality, Target Identification, Lead Generation, Lead Optimization and Drug Response Prediction.
Take advantage of this unique highly interactive meeting format designed for maximum engagement, collaboration and networking with your peers.
- Explore the effective, and realistic approaches to annotate and share data; define data quality aspects for ML applications
- How do we best utilize and interpret data of quality?
- Discuss why executing data quality is a continuous process
- Share experiences in tackling data quality challenges
Head of Integrated Data Science
Bryce Allen is the Head of Integrated Data Sciences, leading the data analytics and machine learning team. Bryce has contributed significantly to the company in several key areas, including conformational genetics, free energy calculations, uncertainty quantification, de novo design, and database infrastructure. Before joining SiTX, he was a Postdoctoral Fellow in Biomedical Informatics at Harvard Medical School, where he worked on clinical trajectory modeling in Inflammatory Bowel Disease. Additionally, during his PhD training, Bryce worked as a Biomedical Data Scientist at the Library of Integrated Network-based Cellular Signatures (LINCS) Data Coordination and Integration Center and helped lead the architecture and development of data storage, query, and analysis infrastructure. He also developed custom ETL processes and machine-learning models for chemical and genomic entities used in the LINCS Consortium.
- Share experiences in data curation
- What are the best methods in facilitating data integration for ML application?
- Discuss how data bias can be lessened via parallel analysis of omics data and how can we achieve this?
- Explore the most efficient application integrated data for drug discovery
Senior Scientist, Bioinformatics
Eisai Center for Genetics Guided Dementia Discovery (G2D2)
Dr. Zhang have a Ph.D in Computational Biology from Washington University in St. Louis. He is experienced in multi-omics data integration and is currently the data science lead at Eisai G2D2 research unit.
1:00 – 1:30pm
1:40 – 2:40pm
- Discuss how to balance data obfuscation with data utility for meaningful data sharing
- Explore if organisations are over-valuing their data assets and preventing meaningful data sharing
- Explore the ideal composition of data-sharing consortiums and initiatives- larger pharma and biotech versus smaller start-ups