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.
