Deep Learning & Computational Neuroscience Teaching Assistant by Lucas Tavares

Deep Learning & Computational Neuroscience Teaching Assistant

Lucas Tavares

Data Analyst

Scientist

Mathematician

Jupyter

Python

PyTorch

Key aspects of this experience:

Deep Learning Projects: Mentored students on various cutting-edge projects, including:

CNN-based neural decoding models analyzing color features in video samples

Comparative analysis of neural decoding models using transition matrices vs. standard frames

RNN-based classifiers for pre-epileptic states using spectral decomposition

Neural decoders for motor movement using monkey electrophysiological data

Transformer models predicting natural language stimuli from fMRI data

Computational Neuroscience Guidance: Assisted students with complex topics such as:

Computational modeling and dimensionality reduction

GLMs and linear systems

Biological neuron models and stochastic processes

Reinforcement learning and causality

International Collaboration: Managed student pods from multiple countries, fostering a global learning environment.

Interdisciplinary Approach: Bridged the gap between neuroscience and machine learning, demonstrating the practical applications of AI in brain research.

Adaptability: Successfully navigated the challenges of online education, ensuring effective learning outcomes for students with diverse backgrounds.

This experience showcases my deep understanding of neuroscience and machine learning concepts, as well as my ability to communicate complex ideas and guide others in applying these concepts to real-world research problems.

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