Danny Stoll

In this engaging discussion, Danny Stoll, a Research Assistant at the University of Freiburg specializing in automated machine learning for RNA design, reveals his team's innovative work in RNA design. He breaks down the design process through reverse engineering and how deep learning algorithms are applied for sequence training. Key topics include the synergy of machine learning and RNA functionality, challenges of hyperparameter optimization, and the integration of traditional and statistical methods for enhanced efficiency.