Megan Ying

Research Assistant

Design Research Collective•  September 2024 - Present•  Pittsburgh, PA

Enhancing the design process by emulating expert material selection behavior in AI agents and large language models (LLMs)

Interconnect Product Design Co-op

Apple•  September 2023 - August 2024

Designed and integrated connectors for next-gen products using Siemens NX, conducting statistical tolerance analysis (TA) and finite element analysis (FEA) to optimize reliability. Determined optimal product dimensions for enhanced user experience by using Python to analyze and visualize 1000+ datasets collected from Instron force testing. Coordinated product tooling and fabrication with overseas vendors throughout the design for manufacturing (DFM) process. Conducted failure analysis (FA) and design of experiments (DOEs) to identify root causes of failures and implement corrective design changes. Spearheaded cross-functional collaboration to align on product expectations, ensuring compliance with system requirements, cost constraints, and project deadlines.

Quantitative Trading Summer Analyst

UBS•  June 2023 - August 2023

Implemented an A/B sampling framework to identify optimal pricing model, boosting profitability in securities lending. Developed a Python program to quantify and monitor risks associated with 1000+ prime brokerage clients, streamlining the identification and mitigation of firm’s potential financial losses. Improved data integrity, reduced query response time, and optimized storage space by standardizing organization of databases across 5+ teams.

Hydraulics and Controls Engineering Intern

Caterpillar•  May 2022 - August 2022

Optimized speed of bucket lift, lower, and tilt commands for small wheel loader machines by conducting data-driven comparison of default and advanced operating modes. Analyzed pressure data across two machines to improve team’s understanding of mechanics behind new electro-hydraulic steering systems, allowing for improved troubleshooting. Identified 8 high-priority faulty machines by developing a Python program to parse and analyze real-time machine error data.