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Unlocking Antibody Development with AI with Dr. Pin-Kuang Lai

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Manage episode 505886584 series 3593861
Content provided by BioTalk Unzipped. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BioTalk Unzipped or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of BioTalk Unzipped, hosts Gregory Austin and Dr. Chad Briscoe interview Asst. Professor Pin-Kuang Lai from Stevens Institute of Technology about his keynote speech at AAPS NBC 2025 and the intersection of AI and molecular engineering, particularly in predicting the viscosity of monoclonal antibodies. They discuss the challenges of high concentration formulations, the importance of AI validation, and the future of formulation development. Lai shares insights from his international research journey and collaborations with pharmaceutical companies, as well as opportunities for students interested in this field.

00:00 Preview & Intro

01:58 Deep Viscosity and AI in Antibody Development

04:39 AI Validation and Model Reliability

07:12 International Journey and Collaborative Research

08:42 Future of Formulation Development

10:30 AAPS NBC Experience

11:30 Academic vs. Industry Career Paths

12:31 Collaboration with Pharmaceutical Companies

13:59 Modeling Protein Aggregation Challenges

14:43 Student Engagement and Research Opportunities

15:45 Expanding Applications of Machine Learning

Dr. Pin-Kuang Lai

https://www.linkedin.com/in/pin-kuang-lai/

Stevens Institute of Technology - https://www.stevens.edu/

Dr. Lai’s Publications - https://www.linkedin.com/in/pin-kuang-lai/details/publications/

The DeepViscosity Model - https://devpred.onrender.com/DeepViscosity

Dr. Chad Briscoe

https://www.linkedin.com/in/chadbriscoe/

Celerion - https://www.celerion.com/

Gregory Austin

https://www.linkedin.com/in/gregoryaustin1/

Celerion - https://www.celerion.com/

  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 505886584 series 3593861
Content provided by BioTalk Unzipped. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BioTalk Unzipped or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of BioTalk Unzipped, hosts Gregory Austin and Dr. Chad Briscoe interview Asst. Professor Pin-Kuang Lai from Stevens Institute of Technology about his keynote speech at AAPS NBC 2025 and the intersection of AI and molecular engineering, particularly in predicting the viscosity of monoclonal antibodies. They discuss the challenges of high concentration formulations, the importance of AI validation, and the future of formulation development. Lai shares insights from his international research journey and collaborations with pharmaceutical companies, as well as opportunities for students interested in this field.

00:00 Preview & Intro

01:58 Deep Viscosity and AI in Antibody Development

04:39 AI Validation and Model Reliability

07:12 International Journey and Collaborative Research

08:42 Future of Formulation Development

10:30 AAPS NBC Experience

11:30 Academic vs. Industry Career Paths

12:31 Collaboration with Pharmaceutical Companies

13:59 Modeling Protein Aggregation Challenges

14:43 Student Engagement and Research Opportunities

15:45 Expanding Applications of Machine Learning

Dr. Pin-Kuang Lai

https://www.linkedin.com/in/pin-kuang-lai/

Stevens Institute of Technology - https://www.stevens.edu/

Dr. Lai’s Publications - https://www.linkedin.com/in/pin-kuang-lai/details/publications/

The DeepViscosity Model - https://devpred.onrender.com/DeepViscosity

Dr. Chad Briscoe

https://www.linkedin.com/in/chadbriscoe/

Celerion - https://www.celerion.com/

Gregory Austin

https://www.linkedin.com/in/gregoryaustin1/

Celerion - https://www.celerion.com/

  continue reading

38 episodes

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