Georgina Woo

About Me

MIT Brain and Cognitive Sciences McGovern Institute

I'm a Yang Post-Baccalaureate Research Scholar in the Kanwisher Lab at MIT. I study how people perceive and reason about the physical world, and whether machine vision models do it the same way, working at the intersection of cognitive science, neuroimaging, computer vision, and machine learning.

I graduated from Hunter College, CUNY in 2025 with a BA and honors in a double major in Computer Science and Theatre (Phi Beta Kappa, McNulty Scholar). At Hunter I did research in the Computer Vision & Robotics Lab and the TIER Lab, and was a teaching assistant and tutor for core CS classes.

Before that, I worked in the theatre industry as a lighting technician, designer, and stage manager. I'm also trained in harp and piano, and in my free time I dance Argentine tango and swim.

Sitting in an MRI scanner
In the scanner, from the other side.
Playing the harp
Harp, in my off hours.

Research

Holding the LED brain, lit up blue

LED Brain

Kanwisher Lab · 2026 · Hardware + 3D printing

A life-size 3D-printed model of my own brain, built from my FreeSurfer surface reconstruction, with 30 LEDs inside that light up brain networks (the Physics Network, V1 + VTC, MT, and the multiple-demand network) for talks and demos. It runs on an ESP32 with WLED, and a browser control page with a 3D view switches between networks over USB or Wi-Fi.

Earlier work

Talks & Posters

  1. What the Physics Network Actually Gives a Force About: fMRI Decoding of Physical Events in the Brain

    Woo, G.

    MIT BCS Cog Lunch, October 2026 · Talk

  2. Siegel Quest 2026 poster

    A Benchmark Dataset for Perceiving Object Physical Relationships in Human and Machine Vision

    Woo, G., Kanwisher, N., & Pramod, R. T.

    MIT Siegel Family Quest for Intelligence, 2026 · Poster

  3. What the Physics Network Actually Gives a Force About: fMRI Decoding of Physical Event Types Across Visual Scenarios

    Woo, G.

    Tenenbaum Lab (CoCoSci) Flash Talk, MIT, September 2026 · Talk

  4. CCN 2026 poster

    A Benchmark Dataset for Perceiving Object Physical Relationships in Human and Machine Vision

    Woo, G., Kanwisher, N., & Pramod, R. T.

    Cognitive Computational Neuroscience (CCN), 2026 · Poster

  5. VSS 2026 poster

    A Benchmark Dataset for Perceiving Object Physical Relationships in Human and Machine Vision

    Woo, G., Kanwisher, N., & Pramod, R. T.

    Vision Sciences Society (VSS), 2026 · Poster 23.341

  6. Yang Collective Retreat poster

    Evaluating Object Spatial Relationships in Human and Machine Vision

    Woo, G., Pramod, R. T., & Kanwisher, N.

    Yang Collective Retreat, MIT, 2025 · Poster

  7. Presenting at MSRP 2025

    Evaluating Object-Object Relationships in Artificial Vision Models

    Woo, G., Pramod, R. T., & Kanwisher, N.

    MIT Summer Research Program (MSRP), 2025 · Poster

  8. Unlike Brains, Pre-trained CNNs do not Encode Current or Predicted Object Contact

    Pramod, R. T., Woo, G., Tenenbaum, J., & Kanwisher, N.

    MIT Siegel Family Quest for Intelligence, 2025 · Poster

  9. Social robot navigation poster

    Vision-Based Social Robot Navigation with 6D Head Pose Estimation and F-Formation Analysis

    Woo, G.

    Hunter College Undergraduate STEM Conference, 2025 · Talk

  10. Presenting at MSRP 2024

    Decoding Contact Information in Pre-Trained Deep Learning Models

    Woo, G.*, Pramod, R. T.*, & Kanwisher, N. (*equal contribution)

    MIT Summer Research Program (MSRP), 2024 · Poster

  11. At CCN 2024

    Unlike Brains, Pre-trained CNNs do not Encode Current or Predicted Object Contact

    Pramod, R. T., Woo, G., Tenenbaum, J., & Kanwisher, N.

    Cognitive Computational Neuroscience (CCN), 2024 · Poster

  12. Presenting the Duckiebot poster

    Socially Aware Robot Navigation with Duckiebots

    Woo, G.

    Hunter College Undergraduate STEM Conference, 2024 · Poster

Side Projects

Things I build for fun, mostly simulations and games you can play in the browser.

Teaching

Teaching at the Quantitative Methods Workshop 2025 Misty robot demo for a class Admitted Students Day 2025 Quantitative Methods Workshop 2025 Majors Day 2025

I teach Python programming, plotting and curve fitting, and machine learning for neuroscience at MIT's Quantitative Methods Workshop (2025–2026), with my own course materials, problem sets, and quizzes.

From 2022 to 2025 I was a teaching assistant and tutor in Hunter's Computer Science department for:

  • CSCI 12700 Introduction to Computer Science
  • CSCI 13500 / 23500 / 33500 Software Design and Analysis I, II, III
  • CSCI 26500 Computer Theory
  • CSCI 35000 Artificial Intelligence
  • CSCI 35300 Machine Learning
  • CSCI 39536 Robotics

I designed role-playing-game-style C++ projects for the Software Design courses and wrote Gradescope autograders that gave personalized feedback on hundreds of student submissions.

Theatre

Before my BA, I earned a diploma with merit in Arts and Theatre Management (technical theatre) from Republic Polytechnic, Singapore (2019), and I've worked freelance as a lighting technician, programmer, and designer, a scenic and puppetry designer, and a stage manager.

At Hunter I was Treasurer, then President, of the student-run Hunter Theatre Company (2021–2024), and received the Baker Fellow Award (2021, 2022) and the Charles Elson Award (2025) for excellence in design and production.