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
Francisco Acosta | PhD student
Geometry of neural representations
Manifold learning with deep learning
Christian Shewmake | PhD Student
Geometry in perception and neural computation
Co-supervised with Bruno Olshausen, UC Berkeley.
Sophia Sanborn | Postdoc
Groups and Symmetries in Nature
Co-affiliated to UC Berkeley's Redwood Center for Theoretical Neuroscience
Past lab members
Jules Legendre, 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
Past and present collaborators
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 (Postdoc advisor), Stanford, USA
Alice Le Brigant, University Paris 1 Pantheon Sorbonne, France
Manu Madhav, University of British Columbia, USA
Johan Mathe, Atmo, USA
Xavier Pennec (PhD advisor), Inria and Université Cote d'Azur, France
Frédéric Poitevin, Stanford SLAC, USA
Ashok Prasad, Colorado State University, USA