This project seeks to advance the discovery of future cancer therapies by comparing healthy cells with abnormal cancer cells. By examining how proteins, the key functional components of cells, change between normal and diseased states, the intern(s) will help identify novel targets that may point to new therapeutic opportunities. The work uses established, quantitative proteomic […]

A hydrofoil is a wing like structure located on the underside of a watercraft, creating a lifting force which lifts the craft out of the water as it gains speed. They increase the fuel efficiency and speed of watercraft, allowing the craft to glide more smoothly over water. Hydrofoil effectiveness is restricted by issues such […]

This project focuses on using deep learning techniques and AI for medical image processing, optimizing these techniques to maximize efficiency and accuracy in processing large sets medical data. This project specifically aims to improve generalization and explainability of deep learning models used in medical imaging, focusing on medical image segmentation to explore how current medical […]

This project will help Avonhead Electric build a repeatable, data-driven way to finance EV charging infrastructure. The intern will turn Avonhead’s current manual, one-off deal work into a standardized underwriting and reporting system by creating (1) a risk scorecard that combines traditional credit metrics with real-world charger performance data (like uptime and utilization), (2) a […]

Solid-state hydrogen storage in MgH2 has strong potential due to its high energy density, but it is limited by technical constraints. Dehydrogenation requires high temperatures (300–400?°C), which are unsuitable for many applications, and the hydrogen release kinetics remain slow because of the low diffusion within the crystalline structure. To address these challenges, our project adopts […]