Matilda is a master student in Engineering Physics at Chalmers University of Technology.
During her time at the Soft Matter Lab, she will be working on developing self-supervised deep learning methods for analyzing microscopy data.
Matilda is a master student in Engineering Physics at Chalmers University of Technology.
During her time at the Soft Matter Lab, she will be working on developing self-supervised deep learning methods for analyzing microscopy data.
Jun Yi holds a bachelor’s degree in Chemistry from the University of Münster.
During his internship at the Soft Matter Lab, he will investigate the interactions of polymer-coated silica microparticles under various stimuli using optical tweezers.
Xinwen holds a master’s degree in Physics (biophysics) from the University of Science and Technology of China (USTC), Hefei, China.
During her PhD, she will focus on label-free optical microscopy combined with deep learning, aiming to characterize nanoparticles and uncover their physical mechanisms.
Jiacheng has a Master degree in Material and Chemical Engineering from the Department of Chemical and Biochemical Engineering, Xiamen University, China.
In his PhD, which is part of the MSCA-DN SPM4.0, he will focus on machine learning and smart microscopy.
John is a PhD student in Physics at the University of Gothenburg.
He holds a Master’s degree in Media Technology and Engineering from Linköping University.
During his time at the Soft Matter Lab, he will work on data-driven life science, with a focus on developing and analyzing 3D models derived from lightsheet microscopy.
Aitor is a PhD student at the University of the Basque Country.
During his visit, that will last until the 19 of August, he will focus on machine learning for image analysis.
Robert is a PostDoc in the group of Prof. Carlos Bustamante at the University of California, Berkeley.
During his visit, he will focus on experiments of single-molecule biophysics.
Ade holds a Master of Science degree in Industrial Chemistry from Pukyong National University, South Korea, and has research experience at the Korea Institute of Materials Science (KIMS).
During his PhD, he will focus on nanofabrication and e-paper technology.
Mathilda is a master student in Complex Adaptive Systems at Chalmers University of Technology.
During her time at the Soft Matter Lab, she will work on a project about tracking bacteria in sequences of microscopic images. In particular she will try to solve problems with overlapping bacteria using recurrent neural networks.