Benjamin Bartow

Ground Level Lab: 01/2024 - 12/2024

• Collaborated on a team developing and programming airborne drones for diverse use cases.
• Researched and integrated vision transformer models for geolocation, leveraging HuggingFace and Python to improve computer vision capabilities.

Deep Learning in Healthcare Research: 01/2025 - Current

Originally developed in an upper-level course; expanded post-graduation toward potential publication.

• Conducting research and writing a paper that compares the performance of experimental deep learning models against base machine learning models in stroke detection.
• Integrating a custom brain CT scan dataset into the project’s codebase, including preprocessing, model training, and evaluation pipelines.

• Ensure an exceptional guest experience as a waiter while taking on additional roles to support restaurant operations.
• Train new hires across multiple positions to maintain consistent service quality and operational efficiency.

Supported the Community Air Monitoring Initiative, focusing on air quality assessment in disadvantaged communities.

• Performed data cleaning, analysis, and visualization of large datasets on criteria air pollutant levels using Python (NumPy, Pandas, Matplotlib).
• Developed interactive geospatial maps with Folium and GeoPandas to support public outreach and community engagement.
• Conducted research on major infrastructure projects, environmental policies, and their potential impacts within target communities.
• Presented findings and assumptions to senior scientists through technical write-ups and PowerPoint briefings.
• Communicated with non-technical stakeholders and affected community members to clarify findings and support decision-making.