Members

Members are listed in chronological order of joining the lab.

Bastian Rieck
Principal Investigator

GitHub: Pseudomanifold
ORCID: 0000-0003-4335-0302
Twitter: @Pseudomanifold
Web: https://bastian.rieck.me

When it comes to machine learning, Bastian is interested in all things geometrical and topological, with a particularly strong focus on biomedical applications.

Julius von Rohrscheidt
Ph.D. Student

Twitter: @JRohrscheidt
Web: https://rohrscheidt.com

Julius is particularly interested in the development and investigation of robust topological representation learning procedures. This includes the construction of new feature extraction algorithms, as well as the investigation of limitations and performance of these techniques.

Jeremy Wayland
Ph.D. Student

GitHub: jeremy-wayland
ORCID: 0000-0002-8766-8737
Twitter: @jeremy_wayland
Web: https://jeremy-wayland.me

Jeremy is interested developing practical and usable topology-based methods for improving our understanding of various generative models. Additionally, he enjoys applying topological methods in collaborative projects that focus on predictive medicine and/or climate change.

Katharina Limbeck
Ph.D. Student

GitHub: LimbeckKat
Twitter: @LimbeckKat
Web: https://limbeckkat.github.io/

Katharina is interested in using and developing topological machine learning methods to analyse complex structures in biomedical data, in particular single cell data.

Ernst Röell
Ph.D. Student

Web: https://ernstroell.github.io

Ernst is interested in building scalable topological descriptors that can be used as machine learning layers. Furthermore, he is interested in the application of abstract algebra and sheaves to understand data structures and machine learning algorithms.

Salome Kazeminia
Ph.D. Student

Twitter: @KazeminiaSalome

Salome is interested in unsupervised, self-supervised, and weakly supervised deep models, focusing on trustworthy representation and manifold learning to advance AI in health applications.

Sebastian Birk
Ph.D. Student

Web: https://sebastianbirk.com

Rayna Andreeva
Visiting Researcher

ORCID: 0000-0001-7497-624X
Twitter: @randreeva1
Web: https://rorondre.github.io/

Franz Srambical
Research Assistant

GitHub: emergenz
Twitter: @lemergenz
Web: https://srambical.fr

Franz is interested in leveraging known topological/physical constraints to solve problems in the natural sciences, including – but not limited to – the realm of drug discovery. He is also interested in representation learning for EEG data.

Niklas Hellmer
Visiting Ph.D. Student

GitHub: https://github.com/nihell
Web: https://dioscuri-tda.org/members/niklas.html

Niklas is a third year PhD student visiting from the Dioscuri Centre in TDA (Warsaw). He is interested in applied topology with a focus on interactions with statistics and signal processing.

Pragya Singh
M.Sc. Student

GitHub: pragyasingh7

Pragya is an incoming MSc student at Imperial College London. She is interested in geometrical and topological machine learnng, especially its application in natural sciences.

Pia Baronetzky
M.Sc. Student

GitHub: peppey

Pia is a Mathematics master student at TUM. She is interested in Machine Learning und Topological Data Analysis, and in how Data Science can be applied to solve meaningful problems.

Collaborators


Adrien Aumon Collaborator	Davide Buffelli Collaborator	Corinna Coupette Collaborator

Sebastian Dalleiger Collaborator	Leon Hetzel Collaborator	Alexandros Keros Collaborator

Your name is missing here! Learn more about joining us.

Alumni & Alumnae

Marek Cerny (now a Ph.D. student with Floris Geerts at the University of Antwerp)
Ferdinand Hölzl (now a master’s student at University of Hamburg)
Barış Onarıcı
Tejas Srinivasan
Kalyan Varma Nadimpalli (now a research assistant at IIT Madras)