Lauren Altman

Lauren Altman is a Postdoctoral Researcher in the Department of Physics and Astronomy at the University of Pennsylvania’s School of Arts & Sciences. She earned a BS in Mathematical Physics from Brown University (2016) and a PhD in Physics from New York University (2022). Her research focuses on experimental soft matter physics, integrating machine learning with holographic microscopy to study emergent behaviors in nonlinear networks and colloidal systems.

Her work explores topics such as memory and learning in tunable networks, microfluidics of colloidal suspensions, and collective phenomena in flow networks. Key contributions include experimental demonstrations of coupled learning in elastic networks and the development of automated holographic diagnostics for molecular assays.

Her publications span journals like Physical Review Applied, Soft Matter, and Optics Express, emphasizing interdisciplinary approaches to material characterization and microscopy. She actively engages in collaborative projects that bridge physics, biophysics, and computational methods.