Yingxin Cao

Company: Shape Therapeutics

Job title: Machine Learning Scientist

Seminars:

Training Foundation Models for Efficient & Precise RNA editing 2:30 pm

The transformer-based foundation model Helix significantly improves predictions of RNA editing outcomes at single-base resolution and specificity These advancements bring us one step closer to reliably generating gRNAs that achieve superior editing and specificity in vivo Our goal is to create a seamless pipeline that enables in silico generation of gRNAs with excellent editing efficacy…Read more

day: Day Two

Panel Discussion: Identifying Strategies for Data Sharing or Smaller Model Development to Improve Cost Feasibility of AI/ML Models for RNA & Lipid Design 3:45 pm

Discussing the potential of collaboration and data sharing between companies to accelerate data access for optimizing computational algorithms Evaluating the true impact of data quantity on computational model accuracy and prediction capability How to improve the cost efficiency of developing computational models for RNA design to make them more accessibleRead more

day: Day One