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.

Data Quality

Time
Titles and Bullets
Facilitator
DAY 1 (May 18, 2021)

8:30 – 9:00am
Opening Address & Keynote: 
9:10 – 10:10am
Sponsor Roundtable Topic TBC
10:10 – 11:00am
BREAK
11:00 – 11:30am
1-2-1 Meetings

11:30am – 12:00pm
1-2-1 Meetings

12:00 – 1:00pm
BREAK
1:00 – 1:30pm
1-2-1 Meetings
1:40 – 2:40pm
Where is High-Quality Data Located and How Can They Be Best Utilized?
  • 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
Silicon Therapeutics

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.

 

Portrait picture of Bryce Allen
DAY 2 (May 20, 2021)
8:30 – 9:00am
Keynote Presentation
9:10 – 10:10am
Effective Approaches in Multi-Omics Data Integration for ML Application
  • 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.

10:10 – 11:00am
BREAK
11:00 – 11:30am
1-2-1 Meetings
11:30am – 12:00pm
1-2-1 Meetings
12:00 – 1:00pm
BREAK

1:00 – 1:30pm

Poster Session

1:40 – 2:40pm

How Can We Achieve Meaningful Pre-Competitive Data Cross-Sharing?
  • 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

Founder & President
Eisai Center for Genetics Guided Dementia Discovery (G2D2)

2:40 – 2:45pm
Closing Address

Partners

Augmented Intelligence in Drug Delivery Xchange | East Coast 2021
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