Members

Members are listed in chronological order of joining the lab.

Bastian Rieck
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
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
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
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
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
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
Sebastian Birk
Ph.D. Student
Web
https://sebastianbirk.com
Rayna Andreeva
Rayna Andreeva
Visiting Researcher
ORCID
0000-0001-7497-624X
Twitter
@randreeva1
Web
https://rorondre.github.io/
Franz Srambical
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
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
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
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

Adrien Aumon
Collaborator

Davide Buffelli

Davide Buffelli
Collaborator

Corinna Coupette

Corinna Coupette
Collaborator

Sebastian Dalleiger

Sebastian Dalleiger
Collaborator

Leon Hetzel

Leon Hetzel
Collaborator

Alexandros Keros

Alexandros Keros
Collaborator

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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)