Sam Raymond

Sam Raymond is an Adjunct Assistant Professor of Engineering at Dartmouth College and a Machine Learning Engineer at Databricks. He holds a BEng (2012) and MEng (2015) from Monash University, Australia, and a PhD in Engineering from MIT (2020). His research focuses on physics-informed machine learning, computational mechanics, and particle-based simulation methods. Raymond leads the Raymond Lab, which emphasizes leveraging data-driven approaches to solve complex engineering challenges.

• Education: BEng (Monash, 2012), MEng (Monash, 2015), PhD (MIT, 2020)

Key research interests include integrating physical laws into deep learning frameworks, synthetic data generation for inverse problems, and pre-training neural networks using simulation data. His work spans applications from biomedical engineering to environmental science. Raymond teaches courses such as ENGS 15.08: AI Demystified and ENGM 204: Data Analytics Project Lab at Dartmouth.

Recent collaborations include developing a novel ventilator for pandemic response and partnering with NVIDIA on generative AI educational tools. He holds a patent for an emergency ventilator design and publishes widely in journals like Nature Communications and IEEE Transactions on Biomedical Engineering.