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Date

Dec 06 2022
Expired!

Lunch & Learn Machine Learning & AI in Protein Engineering Applications: Key Challenges & Solutions Strategies

Content

There has been an increasing demand recently in using AI/ML to process complex Big Data. The advantage of AI/ML models over classical statistical modelling is that the former can solve highly non-linear problems often encountered in life science problems.   

Dr. Alexander Lukyanov, Scientific Director, Machine Learning & AI, Uncertainty Analysis and Quantifications at BISC Global will review applications which converge AI/ML-based learned models including uncertainty quantifications (UQ) with model-based predictions so that all numerical and experimental data can help self-inform predictions. UQ for ML needs to be developed to inform uncertainties in learned models from the overall data. This allows effective building of UQ into a cognitive computing. 

During this Lunch & Learn we will: 

  • Review the capabilities in building and deploying AI/ML models to address challenging questions in life science problems.   
  • Discuss key challenges & solutions in protein engineering applications 
  • Discuss the applicability of machine learning & AI technologists  

Lunch will be provided during this meeting. You can register for this Lunch & Learn via the Pivot community app or by sending an email to communications@pivotpark.com

Info

Organizer

Pivot Park
Email
info@pivotpark.com

Other Organizers

BISC Global

Time

12:00 - 13:00

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