Gustavo Malkomes

Gustavo Malkomes, a research engineer at Intel with expertise in active learning and multi-objective optimization, dives into an innovative algorithm for multiobjective experimental design. He discusses how his work allows teams to explore multiple metrics simultaneously and efficiently, enhancing human-in-the-loop optimization. The conversation covers the balance between competing goals, the significance of stable solutions, and the fascinating applications of his research in real-world scenarios, such as optimization and drug discovery.