I'm a Computer Science major at Colby College with a passion for machine learning, data science, and applied technology in environmental sciences. My academic and project experiences center around developing tools and insights using computational modeling, deep learning, and data visualization.
- 📚 Academic Background: Pursuing a B.A. in Computer Science, with a strong focus on areas like Neural Networks, Deep Learning, and Data Analysis.
- 🏆 Achievements: NCAA Academic All-American, consistent Dean's List honoree
- 🌊 Research Interests: Passionate about using technology to better understand and solve real-world problems, such as ocean wave analysis and environmental data management.
- Programming Languages: Python, JavaScript, SQL
- Machine Learning Frameworks: TensorFlow, Keras, PyTorch
- Data Visualization & Analysis: matplotlib, pandas, numpy
- Other Tools: git, GitHub, OpenCV, MySQL, AWS, Spark
Contributed to a toolkit for high-resolution water wave analysis, implementing object tracking and cost-effective wave measurement solutions.
Developed automated solutions to convert data from PDF to structured formats, creating a streamlined database for environmental data management.
Engaged in hands-on ML research, building foundational knowledge in Python and machine learning while communicating complex projects to diverse audiences.
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Convolutional Autoencoder for Bird Call Spectrograms
Built a convolutional autoencoder to isolate bird species from audio spectrograms, addressing data scarcity with augmentation techniques. -
Semantic Segmentation of Pacific Atolls
Leveraged UNet to segment satellite imagery of Pacific atolls, achieving a significant reduction in inference time and strong accuracy metrics.
- Colby College Cross Country / Track and Field Team Competed at the national level and set a new school record in the 1500m event.
Feel free to reach out via email at [email protected] or check out my LinkedIn for more information!