Resume

Weaver Goldman

Computer Science BS/MS Student

Education

2023 to 2027 at Worcester Polytechnic Institute (WPI), Worcester, MA

2019 to 2023 at Hershey High School, Hershey, PA

Experience

Gittlen Cancer Research Labs - May 2024 to August 2024

Developed a Python package for extracting ROIs (e.g., nerves, blood vessels) from multi-terabyte, cloud-hosted 3D scans.
Designed and implemented algorithms to:
- Bound 3D regions with axis-aligned boxes.
- Slice arbitrarily oriented rectangles from 3D arrays.
- Back-project the slices into 3D space.
Enhanced computational efficiency using multithreading, multiprocessing, and GPU acceleration, resulting in a > 400% speed improvement.

Penn State College of Medicine - June 2021 to August 2021

Developed key-point scanning tool for micro-CT zebrafish scans utilizing GPU kernels for improved performance (full 3D searches taking under 5 seconds)
Designed 9 functional tests through a collaboration with a cybersecurity professional
Presented the application at a lab meeting along with novel segmentation techniques, leading to an 80\% reduction in workload

March 2021 to June 2021

Crafted data visualization widgets and teaching tools for clients, utilizing technologies such as p5.js and Mathjax
Engaged in project planning and negotiation with 15 clients to align with their specific requirements
Developed robust codebases while adapting to varying project scopes

Projects

From September 2023 to April 2024

Implemented a 3D rocket viewer that responds to live updates from onboard telemetry

From July 2023 to December 2023

Created an environment where agents collaboratively solve an unknown maze with memory and search algorithms.
Designed and built a thematic website for configuring and visualizing the simulation.

September 2023

Created a web-based CS program comparison tool based on parsed CSV data (with a 2 hour time limit)
Incorporated data visualization widgets like bar charts and radar charts

From July 2023 to August 2023

Designed and built a lightweight, efficient, and extensible NEAT (NeuroEvolution of Augmenting Topologies) implementation for the web
Integrated the library with simulations, providing real-time (greater than 60 fps) neural network and evolution processing

July 2023

Created a general-purpose web-based maze generation and solving library (reaching times under 1 ms for both)
Incorporated popular algorithms such as backtracking, Kruskal's, A*, D* Lite, among others

June 2023

Analyzed a Paris housing dataset sourced from Kaggle
Created a data-driven website showcasing key insights, a correlation matrix, and an interactive decision tree in JavaScript, reaching 100% accuracy on the dataset

March 2023

Collected data, built custom mathematical models (regressions), and analyzed methodologies
Created graphs and comprehensive write-up of findings (with 3-person team, 14-hour time limit)

From January 2023 to July 2023

Developed a real-time robot dashboard with live camera feeds and data-driven widgets for monitoring and controlling the robot during competitions
Implemented a WebSocket server for seamless communication with the robot, ensuring low-latency data exchange and real-time updates
Automated the build and release process with GitHub Actions
Supported simultaneous tracking of hundreds of data points, enhancing situational awareness and contributing to improved team performance

From January 2023 to July 2023

Led and supervised development of competition robot code (4-person team, 6-week time limit)
Implemented multi-threaded logging and telemetry, autonomous navigation, and localization with AprilTags
Collaborated on three-joint arm control algorithm using system dynamics and physical characteristics
Enabled the robot to rank among the top 1% globally for overall performance (through these features)

Skills