Modeling & simulation
A core approach is to model and simulate complex systems using stochastic descriptions. Stochastic chemical kinetics, agent-based models and Kinetic Monte Carlo are specialities.
Many of our projects combine methodology from different areas of computational mathematics and computer science. By collaborating across specializations we often find new ways of attacking challenging problems that are hard to handle using more traditional approaches.
The group is participating in the eSSENCE strategic collaboration in eScience, with a focus on fundamental tools and techniques.
News
We have openings for a number of MSc students to work in the lab next semester. Topics range from stochastic simulation of multicellular systems to privacy-preserving Federated Learning. Reach out if you are interested! #FedML, #simulation, #thesisproject
Open position in my research group: PhD position in cell biology with an interest in automation. Join our team to build up an intelligent, automated laboratory for cell profiling, with applications in drug discovery: https://pharmb.io/blog/phdposition2019-cellbio/
Hurry up, deadline closing tomorrow! This will be a very exciting project on the interface #distributedsystems #MachineLearning
Come help us develop algorithms and software so that we do not need to choose between privacy and advanced machine learning. https://uu.se/en/about-uu/join-us/details/?positionId=284651 #FedML #privacy #DataScience #Optimization @UU_University
"Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing" will present the processing capabilities of different streaming frameworks at Bench19 http://www.benchcouncil.org/bench19/index.html https://arxiv.org/abs/1807.07724
Come help us develop algorithms and software so that we do not need to choose between privacy and advanced machine learning. https://uu.se/en/about-uu/join-us/details/?positionId=284651 #FedML #privacy #DataScience #Optimization @UU_University