The Love Consortium Love Conference 2024, “Expressing and receiving love: Exploring love dynamics in everyday life”

Quantitative Development Brown Bag, “What makes older adults feel loved?: A Cultural Consensus Theory approach for modeling agreement across people”

Quantitative Development Brown Bag, “All You Need is Love: An Introduction & Application of Continuous-Time Modeling with ctsem”

Drivetrain Reliability Collaborative (DRC) Workshop, “Machine Learning for Gearbox Fault Prediction by Using Both Scada and Modeled Data”

10th Edition Wind Power Big Data and IoT Forum, “A Selected Summary of Global Digitalization Initiatives”

Athena project Stakeholder Annual Meeting: Freight Team

IEEE ICPHM 2020, presenting “Scalable Wind Turbine Generator Bearing Fault Prediction Using Machine Learning: A Case Study”

Drivetrain Reliability Collaborative (DRC) meeting, “Machine Learning for Gearbox and Generator Fault Detection”