👨‍💻 I am a rising senior at Duke University studying Computer Science and Statistics.

🌱 I'm interested in exploring the intersections of data science/machine learning and human-centered causes through research.

📊 I’m looking to collaborate on data science/machine learning projects, but am open to tasks related to other CS fields such as app development

📫 How to reach me: [email protected]

📍 This summer, I worked at the Johns Hopkins Applied Physics Laboratory in the Artificial Intelligence Group under Computer Vision Researcher Derek Rollend, focusing on using segmentation models to provide city-level emissions estimates of the transportation sector as part of the Climate TRACE coalition. Our road transportation data can be found on the ClimateTRACE website. Our work was compiled into the spotlighted NeurIPS Climate Change Conference Paper: Machine Learning for Activity-Based Road Transportation Emissions Estimation.

🔭 For the last year, I performed computer vision research under Duke professor Dr. Kyle Bradbury, exploring the benefit of synthetic imagery (using the GP-GAN) for domain adaptation on an object detection of energy infrastructure in satellite imagery. Our work was compiled into the NeurIPS Climate Change Conference Paper: Closing the Domain Gap -- Blended Synthetic Imagery for Climate Object Detection.

🔗 My aforementioned research from this past summer can be found at this link. The public repos for this year's work can be found at @Duke-BC-2021-AI-for-energy-access.

📄 Learn more about my previous experiences and skills with my LinkedIn and Downloadable Resume.

📈 I’m currently learning about ML model deployment, REST APIs, and Bayesian Inference (Updated May 2023)