Academic Research

Engineered deep learning architectures for high-dimensional biological data. Leveraged PCA for dimensionality reduction and Keras/TensorFlow for model development, achieving 98% accuracy in complex pattern recognition.

Showcased undergraduate thesis findings at the 2025 Analytics Forum, presenting advanced machine learning applications in bioinformatics to an audience of industry experts and researchers.

speaker at the Center for Optimization and Applied Probability (COPA) to discuss the integration of neural networks and probabilistic modeling in biological systems.