Curricula Vitae

George Flint

Boston, MA;
Berkeley, CA

georgeflint [at] berkeley [dot] edu

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Education

University of California, Berkeley
Undergraduate, Class of 2026
Cognitive Sciences, 3.9

Publications

Aalok Sathe, George Flint, Evelina Fedorenko,* Noga Zaslavsky*

Language use is only sparsely compositional: The case of English adjective-nounphrases in humans and large language models

George Flint, Anna Ivanova

Testing a Distributional Semantics Account of Grammatical Gender Effects on Semantic Gender Perception

Experience

Researcher

Lab of Anna Ivanova, Georgia Institute of Technology

Developing a Hebbian foundation model as the sole theorist and implementor, under the mentorship of Anna Ivanova, as part of a Hebbian implementationalist language research program

May 2024 - Present

Researcher

Lab of Evelina Fedorenko, Massachusetts Institute of Technology

First-authorship study on linguistic relativity in a distributional semantic space, humans

Gathered and analyzed gigabytes of MRI scan data on brain-lesioned but phenotypically normal participants (project)

Second-authorship studycompositional utilization cross-linguistically and LLM performance on understanding the plausibility of adjective-noun compositions

Investigating patterns in semantic projections onto least reductive dimensionality lines in distributional semantic space

May 2023 - August 2024

Instructor

UC Berkeley

Created the Linguistics 198 course on linguistic relativity and taught over 50 students

January 2023 - May 2023

Project Manager

Launchpad (UC Berkeley)

Leading a team of engineers for a generative AI project (details published when complete)

May 2024 - Present

Head of Education

Launchpad (UC Berkeley)

In charge of machine learning lectures and other education material, internal and external

May 2024 - Present

Machine Learning Engineer

Launchpad (UC Berkeley)

January 2024 - Present

Research Mentor, Machine Learning Engineer

Algoverse

Mentoring 11 student teams on research projects aimed at publishing in machine learning and computational linguistics conferences

June 2024 - Present

Cofounder, Full-Stack Developer

USearch

Developed data gathering/sifting infrastructure, frontend architecture

Developing architecture semantic search and LLM-powered answers to students' queries on their university

Directing growth to other schools (working models for Berkeley and BU currently)

August 2023 - Present

Full-Stack Web Developer

Freelance

Web development services for dozens of clients

November 2018 - Present

Skills

Programming Languages: Python, HTML, CSS, JS, SQL, PHP, R
Developer Tools: Git, Google Cloud Platform, VS Code, RStudio, Qualtrics, Google Sheets, Google Apps Script
Libraries: FastText, Numpy, Matplotlib, Seaborn, pandasDB, BeautifulSoup, Word2Vec, Gensim, GloVe, BERT, OpenAI API
Machinery: Siemens fMRI scanning and data analysis
Certifications: CITI Biomedical Research Code of Conduct, CITI Biomedical Research Investigators, MRI Yellowbadge
Spoken Languages: English (native), Spanish (fluent), Dutch (intermediate), Italian (intermediate), Esperanto (beginner)

Licenses & Certifications

CITI Biomedical Research Code of Conduct
May 2023, MIT

CITI Biomedical Research Investigators
May 2023, MIT

MRI Yellowbadge
May 2023, MIT

References

Anna Ivanova
Postdoctoral Associate, Massachusetts Institute of Technology
annaiv@mit.edu

Kevin Zhu
Founder, CEO, Algoverse AI Research Academy
kevin@algoverse.us

Curricula Vitae

George Flint Resume

George Flint

georgeflint@berkeley.edu | georgeflint.com

Education

University of California, Berkeley

Bachelor of Arts in Cognitive Science, GPA: 3.9 / 4.0

Berkeley, CA, Class of 2026

Relevant Coursework: Discrete Math, Structure and Interpretation of Computer Programs, Advanced Syntax*, Linear Algebra, Compositionality*, Signals, Systems and Inference, Analytic Geometry and Calculus, Game Theory of Poker

* = graduate coursework, † = audited at MIT

Publications

Aalok Sathe, George Flint, Evelina Fedorenko, Noga Zaslavsky. Language use is only sparsely compositional: The case of English adjective-noun phrases in humans and large language models. [Link]

George Flint, Anna Ivanova. Testing a Distributional Semantics Account of Grammatical Gender Effects on Semantic Gender Perception. Peer-reviewed in Proceedings of the Annual Meeting of the Cognitive Science Society [Link]

Experience

Project Manager, Lead Machine Learning Researcher, Launchpad (UC Berkeley)

Lead theorist and developer for project aiming to implement a quantum attention mechanism for a transformer model.

Leading a team of 8 engineers, building a classical and quantum transformer from scratch, teaching both fundamental transformer architecture and quantum components, including attention, positional encoding, time complexity analysis, state encoding, entanglement strategies, and error correction.

Berkeley, CA, August 2024 -- December 2024

Lead Machine Learning Researcher, Language, Intelligence, and Thought Lab, Georgia Institute of Technology (Led by Anna Ivanova)

Sole theorist and developer for project aiming to implement passive protolinguistic abilities from a purely Hebbian neural network.

Developed novel associational training paradigm without backpropagation for classification, achieving high MNIST and CIFAR-10 accuracy.

Atlanta, GA, May 2024 -- Present

Head of Education, Launchpad (UC Berkeley)

Creating and teaching internal and external machine learning lectures on topics including GANs, CNNs/ResNets, Autoencoders, RNNs, transformers, CLIP, MLPs, NeRFs, (deep) RL, evolutionary algorithms, diffusion, MCTS, alignment, and interpretability.

Created and administered technical interview for applicants on Haar cascades for object detection.

Berkeley, CA, May 2024 -- December 2024

Mentor, Senior Machine Learning Researcher, Algoverse

Senior author role for and mentor to 15 student teams on machine learning research projects for conference submissions.

Featured projects in progress or under review include: RL and evolutionary algorithms for traffic flow optimization, real or simulated conversation between two/one LLM(s) for reasoning, K-Fold Cross Validation for symbolic regression, and comparing human and machine melanoma classification patterns.

Remote, June 2024 -- October 2024

Lead Computational Linguistics Researcher, EvLab, Massachusetts Institute of Technology (Led by Evelina Fedorenko)

First-authorship study on linguistic relativity in humans and distributional semantic space; conducted MRI scans and analyses.

Cambridge, MA, May 2023 -- August 2024

Co-Founder, Full-Stack Developer, CalSearch

Developed semantic search-powered chatbot for university information; launched, marketed, and integrated Calsearch at UC Berkeley.

Berkeley, CA, August 2023 -- August 2024

Course Instructor, UC Berkeley

Created, taught, and managed Linguistics 198 course on linguistic relativity to more than 50 students.

Berkeley, CA, January 2023 -- May 2023

Projects

Qompose | Quantum Machine Learning, Transformer Models

[Educational Project Spec], Ongoing

Testing theoretical advantages of attention operation on an entangled sequence, including capturing all highest-order token interactions in a single layer at O(n3) time, compared to O(dn) in classical transformers with equivalent information capacity.

Testing performance compared to classical model on sequential function extrapolation and interpolation.

Hebbian Language Program | Hebbian Neural Networks, Theoretical Linguistics

[Informal Project Presentation], Ongoing

Theorizing, developing, and evaluating purely Hebbian implementation of protolinguistic abilities.

Achieved >99% accuracy on MNIST, CIFAR classification without backpropagation, using only Hebbian learning.

Achieved primitive compositionality by reconstructing unseen color-digit pairs from generated Colored MNIST dataset.

Testing theoretical neuronal implementation of syntax; adding agentive outputs for RL and/or evolutionary learning environment.

Technical Skills

Languages: Python, R, JavaScript/jQuery, HTML/CSS, PHP, SQL, Bash

Frameworks & Libraries: pandas, numpy, matplotlib, seaborn, scikit-learn, PyTorch, TensorFlow, Optuna, FastAPI, FastText, Gensim, qiskit, PennyLane, TensorFlow Quantum