Quilee Simeon is a Research Engineer (Neuro + AI) at the MIT Office of Research Computing and Data (ORCD) in Cambridge, Massachusetts, United States. Quilee studied Brain and Cognitive Sciences, Computation & Cognition, and Neuroscience at the Massachusetts Institute of Technology (MIT). With five years of experience, Quilee is currently seeking full-time work, specifically looking for Founding Engineer roles, and can help with technical architecture. Quilee is open to introductions and prefers contact via email. Quilee's tinkerer role is Data Scientist.

Neuroscience, AI, machine learning, high-performance computing, Slurm, containerization, neural data pipelines, multimodal alignment, long-horizon modeling, microscopy hardware, optomechanics, bioinformatics, technical architecture, sparse training for large language models, founding engineers

Projects include end-to-end neural data pipelines for preprocessing and multimodal alignment using Python, Julia, and MATLAB; optimizing HPC workflows on Slurm with Docker/Singularity containers; and prototyping microscopy hardware and optomechanics using Onshape and Thorlabs. Additional work involves building Arduino-based behavioral rigs and conducting machine learning experiments, specifically focusing on sparse training for large language models (LLMs).