CV

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Education

Massachusetts Institute of Technology (MIT), Cambridge, MA Ph.D., Brain and Cognitive Sciences (on hold) Sept 2021 – Present

M.S. Computational Neuroscience (May 2025) Master’s Thesis: C. elegans as a Platform for Multimodal Neural Data Integration

B.S. in Computation and Cognition, Minor in Statistics and Data Science Sept 2017 – June 2021

Professional Experience

MIT Office of Research Computing and Data, Cambridge, MA Research Computing Technical Staff Nov 2025 – Present

Numenta, Inc., Cambridge, MA Machine Learning Research Intern June 2025 – September 2025

Research Experience

Graduate Research Assistant, McGovern Institute for Brain Research, MIT March 2022 – Oct 2025

Graduate Rotation Student, Brain and Cognitive Sciences, MIT Oct 2021 – Feb 2022

Summer Course Participant, Methods in Computational Neuroscience, MBL July 2023 – Aug 2023

Summer Course Participant, Neurophysics of Locomotion, KITP July 2022 – Aug 2022

ELO Intern, MIT International Science and Technology Initiatives, Remote June 2020 – Aug 2020

Undergraduate Researcher, UROP, McGovern Institute, MIT June 2018 – Dec 2020

Work Experience

Triplet Therapeutics, Cambridge, MA Bioinformatics Intern Jan 2021 – March 2021

Software Development Intern July 2019 – Sept 2019

Saint Lucia Distillers Group of Companies, Castries, St. Lucia Quality Assurance Analyst July 2016 — June 2017

Teaching Experience

Teaching Assistant, MIT, Cambridge, MA
Principles of Neural Computation in Brains and Machines
Feb 2023 – May 2023

Emergent Computations in Distributed Neural Circuits
Sept 2023 – Dec 2023

Tutor/Lab Assistant, MIT, Cambridge, MA
Fundamentals of Programming
Sept 2018 – Dec 2018

Introduction to Neural Computation
Feb 2019 – May 2019

MIT Global Teaching Labs
Instructor - Cardiff, Wales
Jan 2020

Instructor - Johannesburg, ZAF
Jan 2019

Publications

Preprints:

Acknowledged In:

Technical Skills

Programming: Python, Rust, TypeScript, Julia, C++, SQL, MATLAB ML Frameworks: PyTorch, PyTorch Geometric, Hugging Face, Scikit-learn, Claude Code Data Tools: NumPy, pandas, Matplotlib, OpenAI API, TensorBoard, fal.ai Web & APIs: FastAPI, Next.js, React, Supabase Scientific Tools: NEURON, NetworkX, Graphviz, SciPy DevOps / HPC: SLURM, Conda, AWS, Docker, Git, CI/CD Soft Skills: Cross-disciplinary collaboration, mentoring, reproducible research, technical writing

Coursework

AI & ML, Statistics & Data Science, Statistical Learning, Discrete Math & Linear Algebra, Neural Circuits & Computational Neuroscience, Developmental Biology, Molecular & Cellular Neuroscience

Leadership and Honors

Leadership:

Honors: