David Grass

Background

About David Grass

Experimental physicist (quantum optics, nonlinear microscopy) interested in solving complex interdisciplinary problems and applying cutting-edge technology to real-world challenges. With extensive experience in building custom optical sensors and platforms for biomedical imaging, I currently leverage nonlinear spectroscopy to enhance melanoma diagnosis and analyze cultural heritage samples. At Duke University, I developed advanced optical systems and workflows, implemented machine learning algorithms for skin cancer diagnosis, and for noninvasive characterization of cultural heritage samples. Notably, I played a key role in a high-impact study on face mask efficacy during the COVID-19 pandemic, where I developed a simple, low-cost testbed to assess mask performance. I thrive in collaborative environments, particularly when working with diverse experts across fields. I excel at breaking down complex challenges, communicating solutions clearly, and driving projects forward with a results-oriented approach. I am eager to apply my skills to new areas and contribute to organizations that value innovation and teamwork. Key Expertise:> Nonlinear spectroscopy and microscopy for cancer diagnosis > Optical sensor design and development > Machine learning and data analysis for biomedical applications > Cultural heritage science using advanced spectroscopy > Team leadership and mentorship in academic research I am always open to new challenges, opportunities, and collaborations. Feel free to connect with me!