portrait of Nina Miolane

Nina Miolane  | Principal Investigator

Assistant Professor of Electrical and Computer Engineering

Assistant Professor of Mathematics & Computer Science (by courtesy)

Affiliate Researcher, SLAC National Laboratory, Stanford University

Affiliate Researcher, Center for Multimodal Big Data Science and Healthcare

ninamiolane@ucsb.edu

nmiolane@slac.stanford.edu

View profile

 


 

portrait mathilde

Mathilde Papillon  | PhD Student

Articulated Models of Body Poses

Topological Deep Learning

portrait adele

Adele Myers  | PhD Student

Differential geometry of shape spaces

Riemannian metric learning

portrait francisco

Francisco Acosta  | PhD student

Geometry of neural representations

Manifold learning with deep learning

Guillermo

Guillermo Bernárdez Gil 

Postdoctoral Researcher

Topological & Geometric Deep Learning

Control and Optimization of Computer Networks

Louisa Cornelis | PhD student

Proteomics Data

Abby Bertics Photo

Abby Bertics | PhD Student

Dynamical and geometric models of navigation

Neural and cognitive representations

simon

Simon Mataigne | PhD Student

Riemannian Geometry

Co-supervised with P.A. Absil, UC Louvain

daniel

Daniel Kunin | Visiting PhD Student

Learning Dynamics in Neural Networks

Co-affiliated to Stanford Neural Dynamics & Computation Lab and Stanford NeuroAILab

Pablo

Pablo Suárez-Serrato  | Visiting Researcher

Differential Geometry, Geometry Topology, and Dynamical Systems

portrait sarah

Sarah Kushner  | Visiting PhD Student

Computational Geometry

Alex

Alex West | Lab Manager

Luís F. Pereira | Research Engineer

Johan Mathe | Advisor

Co-founder and CTO at Atmo

Past lab members

Anna-Lena Krause, Intern, Master Student, Graph Neural Networks and Topological Deep Learning, Maastricht University
Christian Shewmake, PhD Candidate, Geometry in Perception and Neural Computation, UC Berkeley
Jules Deschamps, Intern, Master Student, Information Geometry and Geomstats, Columbia University, Centrale Paris
Nicolas Legendre, Intern. Master Student. Geometric Deep Learning, University of British Columbia, Centrale Paris
Shubham Talbar, Intern. Master Student. Geomstats
Saiteja Utpala, Engineer, Geomstats
Adrish Dey, Intern, MIT's Summer Geometry Institute
Faria Huq, Intern, MIT's Summer Geometry Institute
Berna Kabadayi, Intern, MIT's Summer Geometry Institute
Sahra Yusuf, Summer Intern, MIT's Summer Geometry Institute
Hannah Pellegrini, Lab Manager
Sophia Sanborn, Postdoc, now Head of Theory at Science
Bongjin Koo, Postdoc, now Researcher at New York Structural Biology Center
David Klindt, Postdoc, now Faculty at Cold Spring Harbor Laboratory

Past and present collaborators

Pierre-Antoine Absil, UC Louvain, Belgium
Tolga Birdal, Stanford, USA
Khanh Dao Duc, University of British Columbia, Canada
Claire Donnat, University of Chicago, USA
Cornelius Gati, University of Southern California, USA
Nicolas Guigui, Inria and Université Cote d'Azur, France
Mustafa Hajij, Santa Clara University, USA
Susan Holmes, Stanford, USA
Alice Le Brigant, University Paris 1 Pantheon Sorbonne, France
Manu Madhav, University of British Columbia, USA
Johan Mathe, Atmo, USA
Xavier Pennec, Inria and Université Cote d'Azur, France
Frédéric Poitevin, Stanford SLAC, USA
Ashok Prasad, Colorado State University, USA