Research

Exploring the intersection of computational neuroscience, biomechanics, and artificial intelligence through rigorous academic research

May 2024 – Jul 2024

Georgia Institute of Technology

Biomechanical Simulation & Motor Control

Undergraduate Research Assistant

Advanced computational modeling of feline motor function and biological neural networks, focusing on the intersection of biomechanics and artificial intelligence.

Key Contributions

  • Maintained and upgraded MATLAB-based biomechanical simulation models for feline motor function
  • Implemented optimizations improving computational efficiency by approximately 15% through enhanced algorithms
  • Developed data preprocessing pipelines for deep neural network models comprising over 10,000 samples
  • Analyzed computational architectures comparing artificial neural networks to biological motor control systems
MATLABBiomechanicsDeep LearningNeural NetworksData Processing

Jan 2024 – May 2024

Georgia Institute of Technology

Neural Language Processing Analysis

Research Project

Computational neuroscience research analyzing brain responses to speech stimuli through advanced machine learning techniques and fMRI data analysis.

Key Contributions

  • Analyzed neural language processing using Python and Jupyter notebooks
  • Worked with fMRI data and word embedding models to understand brain responses to speech stimuli
  • Processed high-dimensional semantic feature matrices for neural activation analysis
  • Applied machine learning algorithms including nearest-neighbor searches and finite impulse response modeling
  • Decoded neural activation patterns via computational neuroscience techniques
PythonfMRIComputational NeuroscienceMachine LearningNumPy

Research Interests

My research interests lie at the convergence of computational methods and biological systems, with a focus on understanding complex neural processes through data-driven approaches.

Current Focus

  • Computational Neuroscience
  • Biomechanical Modeling
  • Machine Learning Applications
  • Neural Network Analysis

Methodologies

  • Deep Neural Networks
  • fMRI Data Analysis
  • Simulation & Modeling
  • High-Dimensional Data Processing

Interested in Collaboration?

Open to research opportunities, academic collaborations, and discussions about computational neuroscience and machine learning applications

Get in Touch