Lauren Altman
Postdoctoral Research Fellow at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolLauren Altman is a postdoctoral researcher in experimental soft matter physics at the University of Pennsylvania with nine years of research experience spanning holographic microscopy, microfluidics, and machine-learning methods developed during her PhD at NYU. She builds tunable experimental materials that implement local learning rules to generate emergent behaviors and explores analogies between electronic and microfluidic networks to create complex dynamics. Her work blends hands-on microfluidic experimentation with computational tools, reflecting a rare cross-disciplinary fluency from theoretical physics training at Brown to data-driven experimental techniques. Based in Philadelphia, she brings a practical curiosity—evident in projects that bridge imaging, machine learning, and materials—to both fundamental science and novel applied systems, and she unwinds from lab life through baking, photography, and dance.
9 years of coding experience
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at New York UniversityBachelor of Science - BS with Honors, Theoretical and Mathematical Physics, Bachelor of Science - BS with Honors, Theoretical and Mathematical Physics at Brown University
Github Skills (18)
autoencoder10
inline9
convolutional-neural-networks9
fourier-transform9
localization9
docker8
golang8
go6
container6
ecosystem6
intelligent5
rails5
python4
elasticsearch4
opensearch3
Programming languages (5)
Github contributions (5)
laltman2/CNNLorenzMie
Jan 2019 - May 2021
Localization and estimation of Lorenz-Mie holograms of colloidal spheres using convolutional neural networks
Contributions:163 commits, 148 pushes, 2 branches in 2 years 4 months
autoencoderspheresmieconvolutionalneural-networks
laltman2/CATCH
Feb 2021 - Aug 2022
Contributions:149 commits, 2 PRs, 131 pushes in 1 year 6 months
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