Outreach

Talks

COSYNE 2022 Workshop: Task-efficient population coding and representation geometry, March 22, 2022, SueYeon Chung [video link]
Harvard Learning Seminar: February 11, 2022, SueYeon Chung [video link]
World Wide Theoretical Neuroscience Seminar: January 26, 2022, SueYeon Chung [video link]
ICMNS: July 7, 2020, SueYeon Chung [video link]

Computational Neuroscience Seminar, UPenn, Mar 2024
Conference on Parsimony and Learning (CPAL), Hong Kong, Jan 2024
Lake Conferences: Neural Coding and Dynamics, Seattle, WA, Sep 2023
Neuroscience Seminar Series, University of Washington, Fall 2023
ICML Workshop on High-dimensional Learning Dynamics, Honolulu, HI, Jul 2023
Neuroscience Seminar, University of Chicago, Apr 2023
"Brainy Days in Jerusalem: The Future of Neuroscience" symposium, Jerusalem, Israel, Dec 2022
Optica (OSA) Fall Vision Meeting, Rochester, New York, Oct 2022
Kavli Salon: Network Science Meets Neuroscience, Oct 2022
Nature conference on AI, neuroscience and hardware, Bonn, Germany, Sep 2022
Swartz Seminar, NYU Center for Neural Science, Sep 2022
Keynote Talk, KDD Conference, AdvML'22 Workshop, Aug 2022
Guest Lecture, Cold Spring Harbor Laboratories Summer Course on Visual Computational Neuroscience, July 2022
SISSA "Neuroscience and statistical physics" symposium, Trieste, Italy, June 2022
Duke Neurobiology Computational & Theoretical Neuroscience Meetings, May 2022
McGill Seminar Series in Quantitative Life Sciences and Medicine, Apr 2022
Stanford Friday Seminar Series on Cognitive Science & Neuroscience, Apr 2022
COSYNE 2022 Workshop on Representation Geometry, Mar 2022
Harvard Machine Learning Theory Seminar, Feb 2022
WWTNS (World Wide Theoretical Neuroscience Seminar Series), Jan 2022
BIRS Workshop, Dynamical principles of biological and artificial neural networks, Jan 2022
(Virtual) Neuro-AI Seminar, Facebook AI Research, Oct 2021
(Virtual) Bernstein Conference, Workshop: "Neural geometry: low-dimensional manifolds and high-dimensional representations", Sep 2021
(Virtual) Youth in High Dimensions, International Center for Theoretical Physics (ICTP Trieste) Meeting, June 2021
(Virtual) Institute of Neuroscience seminar series, University of Oregon, June 2021
(Virtual) Guest lecture, Advanced Topics in Machine Learning, Caltech, June 2021
(Virtual) Innovators in Neuroscience: from Molecules to Mind, May 2021
(Virtual) Computational Neuroscience Initiative Basel (CNIB) Lecture Series, Jan 2021
(Virtual) MINDS & CIS Seminar Series, Center for Imaging Science, Johns Hopkins University, Nov 2020
(Virtual) 2020 International Conference on Mathematical Neuroscience, Session: Mathematical Theory of Deep Learning, July 2020
Workshop “Plasticity and Learning”, European Institute for Theoretical Neuroscience in Paris, France, Jan 2020
The 3rd Montreal Artificial Intelligence & Neuroscience (MAIN 2019) conference, Montreal, Quebec, Canada, Nov 2019
Grossman Center Workshop on Quantifying Structure in Large Neural Datasets, Aspen, CO, Sep 2019
Bernstein Conference, Satellite Workshops (2 talks), Berlin, Germany, Sep 2019
"Neural computation through recurrent dynamics: from theory to experiment and back"
"Brain against the machine (and now you do what they told ya!)"
CNS 2019 Workshop: "Functional Network Dynamics: Recent Mathematical Perspectives", Barcelona, Spain, July 2019
EPFL Neuro Symposium: "Neuroscience Meets Deep Learning", Brain Mind Institute, Lausanne, Switzerland, July 2019
C&T (Computation & Theory) Seminar Series, Janelia Research Campus, Ashburn, VA, June 2019
NIMH/NIH Symposium: "From Neural Activity to Behavior: Computational Modeling of the Nervous System", Bethesda, MD, April 2019
CNS 2018 Workshop: "How does learning reshape dimensionality of collective network activity?", Seattle, WA, July 2018
COSYNE 2018 Workshop: "Manifold-splaining: what the theorist said to the experimentalist", Breckenridge, CO, Mar 2018
External Seminar, Gatsby Computational Neuroscience Unit at UCL, London, UK, Oct 2017
COSYNE 2017 Workshop: "Deep Learning" and the brain: understanding neural representations with deep networks, Snowbird, UT, Feb 2017

Media and Press

“How do our brains classify similar objects? New Theory works out the details" Simons Foundation November 8 2023
“Performance Capacity of a Complex Neural Network,” Feature in Physics (by American Physical Society), July 12 2023
“Neuroscientist SueYeon Chung Awarded a Klingenstein-Simons Fellowship,” Simions Foundation, July 5 2023
“Searching for Shapes in Neural Activity,” Simons Foundation, April 28 2022
“Biological and Machine Intelligence: Connecting the Dots,” Flatiron Institute, Press Release, April 19 2022
“AI Researchers Fight Noise by Turning to Biology,” Quanta Magazine, December 7 2021
“New Research Shows How Neural Networks Process Invariant Speech,” Intel Newsroom, December 9 2019

Teaching

Lecturer, IBRO-Simons Computational Neuroscience Imbizo, Cape Town, South Africa 2023
Guest Lecture, NYU (NEURL-GA.2205), Behavioral & Cognitive Neuroscience 2023
Guest Lecture, Korean Society for Computational Neuroscience Winter School (Virtual) 2023
Guest Lecture, NYU (NEURL-GA.3042), Computational Neuroscience 2022
Guest Lecture, NYU (NEURL-GA.2201), Mathematical Tools for Neural and Cognitive Science 2022
Guest Lecture, Cold Spring Harbor Lab, Summer Course on Visual Computational Neuroscience 2022
Guest Lecture, Neuromatch Academy, Computational Neuroscience Course 2022
Guest Lecture, Machine Learning X Science Summer School at Flatiron Institute 2022
Guest Lecture, Caltech (CS 159: Advanced Topics in Machine Learning) 2021
Teaching Assistant, Marine Biology Lab, Methods in Computational Neuroscience 2019
Teaching Assistant, Marine Biology Lab, Summer School on Brains, Minds, Machines 2015, 2016, 2017
Teaching Fellow, Harvard University (MCB 131: Computational Neuroscience) 2013, 2015
Teaching Fellow, Harvard University (Applied Math 147: Nonlinear Dynamics)2011
Teaching Assistant, Cornell University (Physics 213: Electromagnetism and Thermodynamics) 2009