Dr. David Toal

Biography

Professor David Toal specializes in design optimization and automation, encompassing machine learning and deep learning methodologies. His research primarily addresses the application of these advanced techniques in the aerospace sector, focusing on engineering geometry creation and simulation output predictions. He develops fundamental machine learning techniques that enhance the efficiency of engineering designs. Professor Toal is a member of the Computational Engineering Design Group, where he works on various projects aimed at innovating design processes. His teaching interests revolve around engineering design methods, design search optimization, and the integration of risk management techniques in engineering contexts. His expertise also extends to computer-aided design, where he employs machine learning approaches to improve reliability and performance. Throughout his career, he has contributed significantly to the field, collaborating with numerous researchers and participating in several high-profile educational and professional roles including examiner positions for reputable universities.

Research Interests

Experience