Research
Projects, preprints and publications around inverse design, electrolyte discovery and data-driven materials science.
View research overview ↗
Doctoral researcher · DTU Energy
Designing Future Materials using Physics-Informed AI and Experiments
I work on inverse design of solid electrolytes for solid-state batteries, combining quantum chemistry, high-throughput workflows and modern generative modelling in collaboration with DTU Energy and the University of Queensland.
On this site
A quick tour of what you can find
Short overviews.
Teaching
Courses, guest lectures and teaching material at the intersection of computational chemistry, machine learning and energy storage.
Browse teaching ↗Notes & blogs
Informal posts on workflows, tools, conferences and ideas that don’t quite fit into a paper format.
Read recent posts ↗Recent news
What has been happening lately
A compact snapshot of recent schools, workshops and events related to materials design.
Generative Modelling Summer School, Pioneer Centre for AI
Selected to attend and present work on generative approaches for
solid electrolytes at the GeMSS summer school hosted at the
Pioneer Centre for Artificial Intelligence.
CECAM: Open Databases Integration for Materials Design
Participated in discussions on interoperable databases and the
OPTIMADE API for high-throughput materials discovery and
screening workflows.
Get in touch
Open to collaborations & questions
If you’re interested in atomistic modeling, generative models for materials, or you simply have questions, feel free to reach out.
The easiest way to contact me is via email.
I’m always happy to talk about research ideas, potential collaborations or simply to compare notes on tools and workflows for materials informatics.
Email me
◎
Academic networks · Collaborations