We often use stochastic descriptions to model complex systems. Many of our projects involve kinetic Monte Carlo, agent-based models and multiscale modeling. A reoccurring theme is how to leverage distributed e-infrastructure for simulations and how to use machine learning to construct approximations.
A core theme in the group is the use of machine learning to make scientific computing software and infrastructure more efficient, interactive and scalable. We also do disciplinary research in specific areas of ML, such as likelihood-free inference and privacy-preserving federated machine learning.
Our research in distributed computing and data engineering sciences ranges from development of new ways to manage large and fast data to design and development of massively parallel, interactive, cloud native applications operating in cloud, fog and edge infrastructure.
The group participates in the eSSENCE strategic initiative on eScience, focusing on eScience tools and technologies.
Scaleout Systems is a spin-off from the group, focusing on privacy-preserving AI and cloud-native machine learning.
Importance of coding to advance science in todays world https://www.nature.com/articles/d41586-021-00075-2
Who’s ready for #SMB2021?
Proposals for mini-symposia are due Februray 14, 2021.
Abstract submissions are due February 21, 2021.
https://www.smb2021.org/
Looking forward to another stellar virtual mathematical biology experience June 13-17, 2021 @SMB_MathBiology
Feels strange to start the new year without @prashant_rsingh around in the lab, but I am really proud of what we accomplished in the past years and look forward to future collaborations! Congrats to @umeauniversitet for the excellent assistant professor recruitment!
Would you like to pursue a PhD on an interdisciplinary project? Are you interested in cell- and tissue mechanics?
This fully-funded PhD studentship @univofstandrews, co-supervised by Marcus Bischoff and me, may be for you!
https://www.st-andrews.ac.uk/study/fees-and-funding/postgraduate/scholarships/world-leading-biology/
Apply by 14 Feburary!
