Anton Widengård joined the Soft Matter Lab on 9 February 2026.
Anton is a master student in Biomedical Engineering at Chalmers University of Technology.
Alongside with his classmate Max Haraldsson, Anton will be working on his Master’s Thesis at Soft Matter Lab, in collaboration with IFLAI, supervised by Jesús Pineda.
Anton’s and Max’s research focuses on evaluating and efficiently adapting pre-trained deep-learning vision models for cell segmentation and tracking.
Max Haraldsson joined the Soft Matter Lab on 9 February 2026.
Max is a master student in Biomedical Engineering at Chalmers University of Technology.
Together with his classmate Anton Widengård, he will be conducting his Master’s thesis at the Soft Matter Lab in collaboration with IFLAI, with Jesús Pineda as supervisor.
Max’s and Anton’s project is about evaluating and efficiently adapting pre-trained deep learning models for cell segmentation and tracking.
Eduard Andrei Duta Costache started his PhD at the Physics Department of the University of Gothenburg on the 19th of January 2026.
Eduard has a double Master’s degree in Artificial Intelligence from the University of Alicante (Spain) and in Machine Learning & Data Mining from Jean Monnet University (France).
During the course of his PhD, as part of the GREENS MSCA Doctoral Network, he will focus on developing AI frameworks to model and optimize the lifecycle of micro-robotic platforms.
Andrea has a Master degree in Theoretical Physics from the University of Naples “Federico II”, Italy.
During the course of his PhD, as part of the GREENS MSCA Doctoral Network he will focus on the development of deep learning based protocols for accurate autonomous microscopy.
Prakhar has a Master’s degree in Biomedical Engineering from RWTH Aachen University in Germany.
During the course of his PhD, as part of the SPM 4.0 MSCA Doctoral Network he will focus on the development of deep learning based packages for processing of Atomic Force Microscopy data and on the development of a photonic force microscope.
Yihuai is a master student in Data Science and AI at Chalmers University of Technology.
During his time at the Soft Matter lab, he will be working on developing reinforcement learning algorithm for robotic applications.
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.