Page 1 of 2
George Flint March, 2026
georgeflint@berkeley.edu — Google Scholar — LinkedIn — Personal Page
RESEARCH INTERESTS
Theoretical neuroscience, theoretical machine learning, computational neuroscience, efficiency in learning and representations, infor- mation theory, representational geometry, theoretical linguistics, computational linguistics
EDUCATION
University of Cambridge — Cambridge, United Kingdom October, 2026 — July, 2027
Masters of Philosophy: NeuroAI and Intelligent Systems, MRC Cognition and Brain Sciences Unit
University of California, Berkeley — Berkeley, California August, 2022 — May, 2026
Bachelor of Arts: Cognitive Science 3.9/4.0
Relevant coursework: Advanced Syntax†
, Compositionality in Humans and Machines†
, Biological and Artificial Language†
, Computa- tional Models of Cognition, Linear Algebra and Differential Equations, Biological Psychology, Cognitive Neuroscience, Computational
Neuroscience, Probability and Statistics, Advanced Programming in R, Machine Learning‡
, Deep Learning‡
PUBLICATIONS † denotes graduate coursework. ‡ denotes audited coursework.
Quantifying Phonosemantic Iconicity Distributionally in 6 Languages
George Flint, Kaustubh Kislay
AACL (nominated for best paper award) — 2025 [Poster] [Manuscript]
Primitive Linguistic Compositionality in a Hebbian Neural Network
George Flint, Anna Ivanova*
Proceedings of the Annual Meeting of the Cognitive Science Society — 2025 [Poster] [Manuscript]
Testing a Distributional Semantics Account of Grammatical Gender Effects on Semantic Gender Perception
George Flint, Anna Ivanova
Proceedings of the Annual Meeting of the Cognitive Science Society — 2024 [Poster] [Manuscript]
Workshop Papers
Sumudu Neural Operator for ODEs and PDEs
Ben Zelenskiy, Saibilila Abudukelimu, George Flint*, Kevin Zhu*
AAAI Workshop on AI to Accelerate Science and Engineering — 2025 [Manuscript]
Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games
Chris Su, Harrison Li, Matheus Marques, George Flint*, Kevin Zhu*
NeurIPS Workshop on Foundations of Reasoning in Language Models — 2025 [Manuscript]
Where to Edit? : Complementary Protein Property Control from Weight and Activation Spaces
Armaity Katky, Nathan Choi, Son Sophak Otra, George Flint*, Kevin Zhu*
NeurIPS Workshop on Biosecurity Safeguards for Generative AI — 2025 [Manuscript]
Testing Evolutionary and Reinforcement Learning Approaches to Traffic Flow Optimization in SUMO
Dominic Domingo, Aryan Bandi, Arya Kunisetty, Ahan Banerjee, George Flint,* Kevin Zhu*
AAAI Workshop on AI for Urban Planning — 2024 [Manuscript]
Preprints and Manuscripts Under Review
Dual-Target Prediction for Spatiotemporal Predictive Coding
George Flint
AAAI Workshop on Neuro for AI & AI for Neuro — 2025 [Manuscript]
Language use is only sparsely compositional: The case of English adjective-noun phrases in humans and large lan- guage models
Aalok Sathe, George Flint, Evelina Fedorenko,* Noga Zaslavsky*
Proceedings of the Annual Meeting of the Cognitive Science Society — 2024 [Poster]
Note: An initial work appeared in the Proceedings, but an expanded paper is in preparation.
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models
Kaustubh Kislay, Shlok Singh, Soham Joshi, Rohan Dutta, Jay Shim, George Flint*, Kevin Zhu*
ArXiv — 2024 [Manuscript]
* denotes senior authorship.
Page 2 of 2
RESEARCH EXPERIENCE
Language, Intelligence, and Thought Lab, Georgia Institute of Technology (Led by Anna Ivanova) Remote
Machine Learning Researcher May, 2024 — October, 2025
• Sole theorist, developer for computational model of a Hebbian implementation of primitive linguistic mappings and composition- ality.
• Achieved high performance in label-to-image and image-to-label reconstruction. Achieved proof of concept performance for
reconstruction of OOD compositions compositional images/labels.
• Developing a recurrent language model with a purely predictive coding-based architecture.
Launchpad Machine Learning Club (UC Berkeley) Berkeley, CA
Project Lead, Machine Learning Researcher August, 2024 — January, 2025
• Lead theorist and developer for quantum machine learning project with 8 engineers. Organized distribution of work, socials, and
education (fundamental and advanced transformer architecture and quantum concepts) to team with no prior experience in these
fields.
• Developed a theoretical model and preliminary implementation for an entanglement-based attention operation.
EvLab, Massachusetts Institute of Technology (Led by Evelina Fedorenko) Cambridge, MA
Computational Linguistics Researcher May, 2023 — August, 2024
• Lead theorist and developer on study investigating linguistic relativity in humans and the distributional semantic space.
• Designed and developed human behavioral experiments (n=500), large-scale distributional experiments.
• Discovered positive effects in non-control languages (Spanish, German) in distributional study, Spanish in behavioral study.
• Conducted fMRI scans and analyses for the Interesting Brains Project.
TEACHING EXPERIENCE
Algoverse Coding Academy Remote
Mentor, Machine Learning Researcher June, 2024 — November, 2025
• Mentor to two dozen student teams for machine learning research projects aiming for conference or workshop publications.
• Taught high school and college students with little or no prior experience research practices and concepts in machine learning,
from fundamentals to advanced topics, publishing in and presenting at top machine learning conferences (NeurIPS, AAAI, others).
Launchpad Machine Learning Club (UC Berkeley) Berkeley, CA
Head of Education May 2024 — December 2024
• Designed and taught machine learning lectures and workshops on topics including NLP, GANs, CNNs/ResNets, Autoencoders,
RNNs, transformers, LLMs, CLIP, MLPs, NeRFs, deep RL, evolutionary algorithms, diffusion models, MCTS, other topics.
University of California, Berkeley Berkeley, CA
Course Instructor January, 2023 — May, 2023
• Created, taught, and managed new Linguistics 198 course on linguistic relativity to over 50 students. [Syllabus]
INDUSTRY EXPERIENCE
Mercor Intelligence Remote
Project Lead, Machine Learning Engineer October, 2025 — Present
• Leading team of 6 engineers to expand OpenAI’s MLE-bench by authoring ground-truth solution plans and corresponding
implementations for machine learning engineering tasks.
• Debugging and writing explanations of fixes for 250+ LLM-generated solutions to machine learning engineering competition tasks.
SKILLS
• Programming Languages & Frameworks: Python (PyTorch, TensorFlow, JAX, PRECO, NumPy, Matplotlib, Seaborn,
Qiskit, Optuna, CUDA), R, JavaScript, Linux, Slurm, Bash, ZSH, Ruby (Rails), PHP, SQL, HTML/CSS.
• Lab Skills: MRI Operation (Yellow Badge), Qualtrics, Prolific, SSH & GPU Orchestration, Git.
• Spoken Languages: English (native), Spanish (C2), Italian (B2), Dutch (B1).
REFERENCES
Dr. Anna Ivanova
Assistant Professor, Department of Psychology, Georgia Institute
of Technology
E-mail: a.ivanova@gatech.edu
Personal Page — Google Scholar — LinkedIn
Dr. Evelina Fedorenko
Associate Professor, Department of Brain and Cognitive Sci- ences, Massachusetts Institute of Technology
E-mail: evelina9@mit.edu
Personal Page — Google Scholar
Dr. Line Mikkelsen
Professor, Department of Linguistics, UC Berkeley
E-mail: mikkelsen@berkeley.edu
Personal Page
Kevin Zhu
Program Director, Algoverse
E-mail: kevin@algoverseacademy.com
