Bernadette Stolz
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stolzbernadette.bsky.social
Bernadette Stolz
@stolzbernadette.bsky.social
Mathematician studying topology in biomedical data | Project leader of the Topological Learning in the Life Sciences group, Max Planck Institute of Biochemistry | Previously at EPFL & Oxford Maths | 2022 L’Oréal-Unesco #ForWomenInScience Fellow
If you’re at #SMB25 and curious to learn about novel geometrical and topological techniques for data-driven modeling, don’t miss our minisymposium (co-organised with Dhananjay Bhaskar)!
Speakers:
@kfbenjamin.bsky.social
Veronica Ciocanel
Robert McDonald
Nan Wu
Eunbi Park
@tangjian.bsky.social
July 15, 2025 at 12:20 PM
It was a pleasure to end my research visit at ETH @ethzurich.bsky.social with a guest lecture in Patrick‘s @schnpatr.bsky.social TDA course, thank you for the invitation. And a huge thank you to Sara Kalisnik for hosting me at the FIM for a week of great discussions and ideas!
Today the students of my „Intro to TDA“ course had the pleasure to listen to a very interesting guest lecture by Bernadette Stolz @stolzbernadette.bsky.social (bernadettestolz.me) about TDA in the life sciences. Thank you Bernadette for an amazing lecture!
April 4, 2025 at 4:48 PM
Reposted by Bernadette Stolz
New preprint with @stolzbernadette.bsky.social and Darrick Lee - Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures.

Oscillators coupled through SBM reduce to a few variables captured by lead matrices, allowing for structure recovery!

👉 arxiv.org/abs/2503.17546
Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures
The behavior of multivariate dynamical processes is often governed by underlying structural connections that relate the components of the system. For example, brain activity which is often measured vi...
arxiv.org
April 4, 2025 at 12:19 PM
Had a great week at the interface of mathematical oncology and machine learning starting with a BIRS workshop on mechanistic learning followed by an AMS special session on emerging geometric and topological methods at the
@jointmath.bsky.social in Seattle.
January 13, 2025 at 5:21 PM
Reposted by Bernadette Stolz
Thanks for the great responses regarding the foundation of #AI-LIFE last week! We now invite PIs from academia & industry to join #AI-LIFE as new members. Please follow the application procedure described below #ArtificialIntelligence #LifeSciences ai-life.cc 1/4
December 9, 2024 at 2:26 PM
Reposted by Bernadette Stolz

We’re thrilled to introduce MuSpAn!
For researchers in biological imaging, MuSpAn provides tools for Multiscale Spatial Analysis with advanced mathematical methods.

🌟 For more information: www.muspan.co.uk
📝 Preprint: doi.org/10.1101/2024...

We hope you find it as useful as we do! (Poster below)
December 9, 2024 at 2:30 PM
Reposted by Bernadette Stolz
Today, we are excited to announce #AI-LIFE, a new network at the interface of #ArtificialIntelligence and the #LifeSciences. The mission of #AI-LIFE is to foster research, training and international collaborations in these domains. Visit: ai-life.cc for details.
December 2, 2024 at 9:20 PM
Reposted by Bernadette Stolz
Check out the SMB Research Highlight that the authors of this article wrote, providing a brief explanation of the paper with an illustrative figure.

smb.org/news/13420803
@stolzbernadette.bsky.social @joshuabull.bsky.social
November 17, 2024 at 2:25 PM
Reposted by Bernadette Stolz
Here is a #BulletinMathBio paper by @stolzbernadette.bsky.social, Jagdeep Dhesi, @joshuabull.bsky.social, Heather Harrington, Helen Byrne, & Iris Yoon that uses topological data analysis to explore agent-based models of a tumor microenvironment.

bsky.app/profile/smbm...
November 17, 2024 at 2:03 AM