
Hang has a Master’s degree in Biomedical Engineering from Linköping University, where he focused on machine learning and medical image processing.
In his PhD, he will focus on machine learning, graph theory, and neuroscience.

Hang has a Master’s degree in Biomedical Engineering from Linköping University, where he focused on machine learning and medical image processing.
In his PhD, he will focus on machine learning, graph theory, and neuroscience.

Gideon is a Master student in the Complex Adaptive Systems at Chalmers University of Technology.
During his time at the Soft Matter Lab, he will work on his Master thesis project on particle representation and graph neural networks.

Marcel received a PhD degree in Chemical-Engineering from the Friedrich-Alexander University Erlangen-Nuremberg, Germany. In his thesis, he focused on the self-assembly behavior of soft colloidal particles confined at liquid interfaces.
In the Soft Matter Lab, Marcel will investigate the “Coffee Ring Effect”, a characteristic drying behavior of liquids containing dispersed particles. The goal is to find simple strategies towards homogeneous drying of particle dispersions.

Kunli received a Ph.D. degree in Material Science from the Chalmers University of Technology, Sweden. In his research, he focuses on developing novel plasmonic E-paper technology.

Giuseppe has a PhD degree in Physics from the University of Naples, Italy, where he was working for several years. His field of expertise is laser spectroscopy and optical tweezers used for several experiments, in particular for microrheology and statistical mechanics.
During his employment, Giuseppe will work on a project about optical tweezers combined with deep learning for construction of scalable quantum dots arrays and on automatisation of a double optical tweezers system to stretch biomolecules.

Antonio is a PhD student at the Physics Department of the University of Naples, Italy.
He will be working on the modelling and the analysis of the data of his experiments with intracavity optical trapping.
He will stay in our lab for six months.

Yanuar is a master student in Complex Adaptive Systems at Chalmers University of Technology.
During his time at the Soft Matter Lab, he will focus on implementing deep learning techniques to predict delay in Brownian motion with delayed feedback.

Hari Prakash has a Master degree in Advanced Robotics from Queen Mary University of London, United Kingdom.
In his PhD, he will focus on the development of soft robots to study collective emergent behaviours in soft active matter systems.