CONFERENCE DAY TWO | Thursday, October 24, 2024

For full session details, download the event guide.

Day One

Wednesday, October 23

Day Two

Thursday, October 24

8:00 am Coffee & Networking

8:55 am Chairs Opening Remarks

Data Management & Integration in Biologics: Ensuring Quality, Security & Standardization

9:00 am Advancing Data Management & Integration Strategies for Enhanced Compliance & Efficiency in Biologics Development

  • Mark Aquino Associate Director and Principal Data Scientist, Abbvie

9:30 am Data Management & Integration Strategies to Enable Continuous Feedback in Biologics Development

  • Prashanth Vishwanath Director and Head Of Biologics Informatics & Automation, Takeda Pharmaceutical

10:00 am Maximizing Impact with Minimal Data: Ensuring Quality & Relevance for Effective Machine Learning in Biologics

10:30 am Scaling Antibody Developability for AI/ML

  • Amir Moarefi Director - Pharma Business Developmant & Strategy Biologics, Ginkgo DataPoints

Synopsis

Ginkgo Datapoints generates antibody developability datasets for your AI model training needs. Here we present developability data on clinically relevant antibodies.

10:40 am Morning Break

11:40 am Panel Discussion: Enhancing Data Consistency in Biologics Research: Overcoming Variability & Promoting Standardization

  • Yao Fan Director - Protein Design & Optimization, Tectonic Therapeutic
  • Mark Aquino Associate Director and Principal Data Scientist, Abbvie
  • Naresh Chennamsetty Associate Scientific Director, Bristol Myers Squibb

Computational Approaches for Enhancing Antibody Developability & Safety

12:10 pm Computational Tools for Reducing T Cell immunogenicity

12:40 pm Application of Computational Tools to Address Developability-related Properties in Antibodies

1:00 pm OmniDeepTM: Harmonizing Deep Learning and Deep Screening

  • David Mowrey Senior Manager - Modeling & Computational Design, Omniab

1:15 pm Lunch Break & Networking

2:15 pm Computational Tools to Assess Developability & Critical Quality Attributes of Biologics

2:45 pm Optimizing Bio-therapeutic Development: Integrating Computational Approaches & Experimental Data

Synopsis

  • Discussing the importance of leveraging computational tools to identify developability issues in bio-therapeutic candidates during the early stages of drug discovery
  • Emphasizing the value of integrating experimental data with machine learning algorithms to prioritize promising bio-therapeutic candidates for further development
  • Highlighting strategies to streamline experimental workflows and reduce time and resource-intensive manual operations

Computational Innovations in the Design & Optimization of Complex Biologics

3:15 pm Advancing AAV Capsid Design: Harnessing Machine Learning for Enhanced Therapeutic Efficacy

  • Peixin Zhu Vice President - Editing Discovery, Verve Therapeutics

3:45 pm Closing Remarks

3:55 pm End of Conference

DAY ONE
FULL EVENT GUIDE