Conference Day One

Wednesday, June 19

8:00 am Registration & Morning Coffee

8:55 am Chair’s Opening Remarks

  • Rosa Grenha Director of Protein Biochemistry, Keros Therapeutics

Revolutionizing Pairing Technologies: Overcoming Challenges in Antibody Screening & Compatibility

9:00 am Mastermind: Next-Generation Sequencing for Antibody Repertoire Analysis: Creative Approaches & Analytical Insights

Synopsis

  • Addressing the challenges in obtaining diverse antibody repertoires for discovery and engineering
  • Discussing the use of next-generation sequencing techniques for both bulk and single-cell analysis in understanding immune responses
  • Exploring innovative approaches to obtaining diverse antibody repertoires for discovery

9:30 am Revolutionizing Antibody Screening Through Automation

Synopsis

  • Explore the transformative power of automation in antibody screening, spotlighting its pivotal role in high-throughput screening processes
  • Uncover the critical need for reliability and error mitigation and delve into strategies including system suitability tests and contingency protocols to overcome these hurdles and ensure robust screening outcomes
  • Gain practical guidance for individuals embarking on their journey into antibody screening automation

10:00 am Morning Break & Speed Networking

Synopsis

Our speed networking is the ideal opportunity to get face-to-face time with the brightest minds working in engineering and developability and introduce yourself to the attendees that you would like to have more in-depth conversations with. Benchmark against industry leaders and establish meaningful business relationships to pursue for the conference and beyond.

11:00 am Exploring a Deep Screening Platform & High Throughput Processes to Improve AI Capabilities

  • Christopher Wassif Director - Molecular Engineering & Antibody Technologies, AstraZeneca

Synopsis

  • Understanding how characterization and purification data can feedback into AI & machine learning
  • Assessing how developability advancement can improve machine learning abilities

11:30 am High-Throughput Production & Analytics Workflows for Multispecifics: From Hundreds to a Single Lead

  • Jane Guo Principal Scientist/Lab Head, Sanofi

Synopsis

  • Exploring how to support from screening stage to larger scales for DMPK and toxicology studies
  • Navigate how to determine mis-pairing and understand productivity
  • Leverage analytical insights to provide a complete picture and mitigate mis-pairings

Reducing Unpredictability, Trial-&-Error Tactics, & Complexity in Antibody Engineering

12:00 pm Exploring How Bispecific Design Elements Impact Purity

  • Jessica Wiwczar Senior Scientist II Protein Sciences - Purification, Invenra Inc.

Synopsis

  • Exploring strategies to optimize purity with a variety of design elements
  • Assessing how to test the design elements and resulting impact on purity
  • Gathering the correct data to inform decisions for further process development

12:30 pm Lunch & Networking

1:30 pm Exploring a Trispecific T Cell Engager Platforms

  • Chayne Piscitelli Principal Scientist and Group Lead, Protein Engineering, Zymeworks

Synopsis

  • Delve into the TriTCE Co-Stim (αCD3xαCD28xαTAA) and TriTCE CPI (αCD3xPD1xαTAA) programs
  • Explore engineering and screening solutions to identify differentiated trispecific antibodies
  • Utilize these programs to widen the therapeutic index to address hard-to-treat cancers

2:00 pm Innovations in Bi-Specific & Multi-Specific Antibodies: Navigating Challenges & Enhancing Therapeutic Efficacy

  • Jeffrey Way President, Wyss Institute at Harvard University

Synopsis

  • Exploring the rationale behind moving beyond traditional monospecific antibodies
  • Addressing the complexities involved in developing Bi-Specific Antibodies
  • Discussing strategies and innovations to overcome challenges in the development process

2:30 pm Innovations in Navigating Novel Platforms and Development Challenges

  • Obinna Ubah Head of Immunology Drug Discovery, Elasmogen Limited

Synopsis

  • Navigating the path from bench to clinic by ensuring optimal expression and stability of novel domains
  • Utilizing protein engineering techniques to facilitate reformatting and enhance developability for clinical application
  • Harnessing gathered information to inform decisions on extending half-life and enhancing therapeutic efficacy

3:30 pm Afternoon Break & Poster Session

Revolutionizing Drug Development Target & Cross-Disciplinary Collaboration

4:30 pm Panel Discussion: Machine Learning in Antibody Engineering: Current Challenges & Future Prospects

Synopsis

  • Exploring the potential of machine learning in optimizing the Antibody discovery and engineering process
  • Discussing the challenges, particularly in acquiring and formatting the necessary data for effective machine learning
  • Addressing the challenges and opportunities each company size faces in leveraging tools like machine learning

4:45 pm Navigating the Complexity & Developability Challenges in Multispecific Antibody Therapeutics

  • Michael Dyson Vice President, Antibody Discovery & Engineering, Ichnos Science

Synopsis

  • Understanding the transition from monovalent to multivalent formats in antibody development
  • Importance of comprehensive developability assessment in choosing clinical candidates
  • Strategies for successful characterization and production of multispecific antibody therapeutics

5:45 pm Chair’s Closing Remarks

  • Rosa Grenha Director of Protein Biochemistry, Keros Therapeutics