P.I.
After a PhD at Goethe University in Frankfurt, studying the role of different forms of plasticity in unsupervised learning, Cristina worked as postdoctoral researcher at Cambridge U. developing normative models of memory. This was followed by a short stint at ENS in Paris, modeling probabilistic computation in spiking neurons, and an independent research fellowship at IST Austria, building statistical tools for quantifying learning in multiunit recordings. Since 2017 she is an Assistant Professor in Neural Science and Data Science at NYU.
Postdoc
Edoardo has bachelor and MS in Mathematics from Milan University, and a PhD in Neuroscience from the Italian Institute of Technology in Genova. He is currently studying the representation of uncertainty in neural circuits.
Postdoc
David has a B.S. in Chemistry and a B.A. in Mathematics and Italian from Indiana University and a PhD in Physical Chemistry from Princeton, followed by a postdoc with Il Memming Park at Stony Brook University. He is broadly interested in understanding and manipulating low-dimensional neural dynamical systems, with a particular application to cognitive processes such as decision making
PhD student (co-advised by Eero Simoncelli)
Colin has a BPhil in mathematical biology and neuroscience from the University of Pittsburgh. He uses machine learning and dynamical systems techniques to study how the visual system learns to represent images, while coping with noise in both the environment and the activities of neurons themselves.
PhD student (co-advised by Eero Simoncelli)
Caroline has a B.S. in Statistics and a B.S. in Psychology from the University of Vienna. She studies the processes supporting the encoding/decoding of sensory information and the functional role of latent modulation.
Check out her recent Cosyne talk!
PhD student (co-advised by Dima Rinberg)
Pedro has a B.S. in Biochemistry and a M.S. in Physics from Autonomous University of Madrid, and a MS in Bioinformatics from NYU. His research combines experimental approaches (in Rinberg lab) and machine learning with the aim of understanding how odors are encoded in neural activity. He is also interested in using these insights to develop new biotechnologies.
PhD Student
Owen has a B.A. in Mathematics and Physics from Amherst College. His research involves developing machine learning techniques to understand how the brain learns statistical regularities from sequences of inputs, by building biologically-plausible approximations to backpropagation through time.
PhD Student
Camille has an A.B. in Physics and Biophysics from Princeton University. She is broadly interested in sensory integration, and studies spiking models for how the brain may represent, manipulate, and read out this information in populations of neurons.
Current rotation students/interns/visitors
Yanqi Xu
Xueyan (Julie) Niu
Daniel Im
Abdiel Cortes (undergrad research, CDS)
Bria Ross-Butler (undergrad research, CDS)
Past affiliates
Thomas Edward Yerxa - rotation
Heejae Jang - rotation
Jintao Gu - rotation
Andrea Cumpelik - visitor (IST Austria)
Laura Green - rotation
Conor McGrory - research assistant
Rong Zhao - intern
Klavdia Zemlianova - rotation
Katie Ross - undergraduate intern
Nicole Tomassi - undergraduate intern
Peyiao Hu - rotation
Roman Huszar - rotation
Shenghao Lin - undergraduate intern
Collaborators (past and present)
Dora Angelaki, NYU
Roozbeh Kiani, NYU
Rob Froemke, NYU
Christine Constantinopole, NYU
Dima Rinberg, NYU
Eero Simoncelli, NYU
Jozsef Csicsvari, IST Austria, AT
Peter Dayan, Gatsby Unit, UCL, UK
Sophie Deneve, Group for Neural Theory, ENS Paris, FR
Andre Fenton, NYU
Joszef Fiser, CEU Budapest, HU
Mate Lengyel, CBL, Cambridge University, UK
Joerg Luecke, Oldenburg University, DE
Gasper Tkacik, IST Austria, AT
Open positions
No current openings.
Will not be taking new interns
for the summer.
Contact CS for potential rotation projects and for informal
PhD/Postdoc queries.
You?