Lauren Altman is a postdoctoral researcher in experimental soft matter physics at the University of Pennsylvania. She earned her PhD from New York University in 2022, developing machine-learning techniques for holographic microscopy and studying the microfluidics of colloidal suspensions. In her postdoctoral work, she is building tunable networks in the lab that exhibit emergent behaviors and properties such as memory and learning. Lauren was born and raised in New York and enjoys baking, photography, and dancing in her spare time.
BS Mathematical Physics, Brown University 2016 PhD Physics, New York University 2022
Lauren E Altman, Nadia Awad, Miguel Ruiz-Garia, Eleni Katifori, and Douglas J Durian. Collective Hysteron Behavior in Nonlinear Flow Networks. (In preparation) 2024 Lauren E Altman, Menachem Stern, Andrea J Liu, and Douglas J Durian. Experimental demonstration of coupled learning in elastic networks. Physical Review Applied, 22(2):024053, 2024 Lauren E. Altman, Andrew D. Hollingsworth, and David G. Grier. Anomalous tumbling of colloidal ellipsoids in poiseuille flows. Phys. Rev. E, 108:034609, Sep 2023 Lauren E Altman and David G Grier. Machine learning enables precise holo- graphic characterization of colloidal materials in real time. Soft Matter, 19(16):3002– 3014, 2023 Lauren E Altman and David G Grier. Holographic analysis of colloidal spheres sedimenting in horizontal slit pores. Physical Review E, 106(4):044605, 2022 Rafe Abdulali, Lauren E Altman, and David G Grier. Multi-angle holographic characterization of individual fractal aggregates. Optics Express, 30(21):38587– 38595, 2022 Caroline Martin, Lauren E Altman, Siddharth Rawat, Anna Wang, David G Grier, and Vinothan N Manoharan. In-line holographic microscopy with model- based analysis. Nature Reviews Methods Primers, 2(1):83, 2022 Lauren E Altman, Rushna Quddus, Fook Chiong Cheong, and David G Grier. Holographic characterization and tracking of colloidal dimers in the effective- sphere approximation. Soft Matter, 17(10):2695–2703, 2021 Rushna Quddus, Kaitlynn Snyder, Lauren Altman, Laura Philips, David G Grier, Andrew D Hollingsworth, and Kent Kirshenbaum. Holographic diagnos- tics: Automated virus binding assay. protocols.io, 2020 Lauren E Altman and David G Grier. Interpreting holographic molecular bind- ing assays with effective medium theory. Biomed. Opt. Express, 11(9):5225– 5236, 2020 Lauren E. Altman and David G. Grier. CATCH: Characterizing and track- ing colloids holographically using deep neural networks. J. Phys. Chem. B, 124(9):1602–1610, 2020 Ray Yarema, Thomas Zimmerman, Lauren E. Altman, Ronald Lipton, et al. Three dimensional integrated circuits bonded to sensors. PoS Vertex2014, 45, 2015