Eugenio discusses how early passions in engineering, technology, and robotics led him to work in AI and data science, and a lack of the human component in these fields has driven his work. He describes his work on MIT Media Lab’s Project US, which uses AI and advanced biosignal processing to help people become more effective and empathetic leaders and organizations make tangible progress towards their HR goals, and how that research shifted when COVID hit and people worked from home. Eugenio and Rashmi also touch on the common challenges and concerns across different industries, such as data sharing and privacy, and his views on synthetic data. He also shares some of the most important lessons learned in his career and offers advice for students looking to build solutions with machine learning.