I’m a student at Duke exploring where hardware, software, and scientific discovery meet. I like taking things apart—and building something useful from what I learn.
A circuit on my desk. A design question with my team. A research problem that needs a better tool.
I’m drawn to projects that cross boundaries. At Duke, I’m exploring embedded hardware, engineering design, and the ways software can support scientific work.
I enjoy the part where an idea meets its constraints: tracing a connection, comparing design options, or working out why something doesn’t behave as expected. Each attempt gives me a better question to ask next.
ON MY WORKBENCH
KiCadESP32JavaPythonPrototyping
03 / WHAT’S NEXT?
Good things start with a conversation.
Have a project, a question, or an idea to exchange? Say hello.
An ongoing exploration of the hardware behind a flight data system.
The question
How do you turn a collection of electronic components into a system that can collect and communicate useful data?
The work so far
I’ve been developing a base schematic in KiCad and working through what each component needs to operate. Alongside that work, I’ve been experimenting with an ESP32 and a Waveshare SIM7080G module, including GNSS status and positioning data.
What I’m working through
Power requirements, connector pin assignments, communication between modules, and the path from a schematic to a physical board.
A team project for my engineering class, exploring drone-based biological sample pickup.
The question
How could a drone pick up a biological sample and transport it while addressing attachment, storage, cooling, tracking, and user interaction?
The approach
Our team has been following the engineering design process: brainstorming possible solutions, breaking the problem into subsystems, and comparing design concepts using selection matrices.
The tradeoffs
Cooling adds power and weight requirements. Attachment needs to work with the storage design. Each decision affects the overall system, so I’m interested in how we make those tradeoffs explicit.
Course design project. Illustration represents the concept, not a completed aircraft.
Research into AI-assisted scientific workflows and the evidence behind their outputs.
The question
How can an AI-assisted workflow connect specialized scientific tools while making its reasoning and handoffs easier to inspect?
The architecture
The project explores a federated architecture for coordinating analysis and control tools, with a semantic reasoning layer that distinguishes retrieved information, validated evidence, and reviewed claims.
What matters to me
A useful scientific assistant should help a researcher understand where an output came from and what supports it. I’m interested in making those distinctions visible throughout a workflow.
Research overview. No unpublished data or performance claims are included.