This project aims to develop a low-cost, easy-to-use water sensor for hydroponic farming using printed organic electrochemical transistors (OECTs). The sensor will help growers quickly check the levels of nutrients in their water without needing expensive lab equipment. We will improve the sensor’s performance in the lab, test it in real hydroponic systems, and collect […]

FiberTrap is a new filter designed to stop microplastics from washing machines before they reach our water systems. Every time we do laundry, tiny plastic fibers come off synthetic clothes and go down the drain. These fibers are too small for regular water treatment plants to catch, and they often end up in rivers, lakes, […]

This project develops WearNovAIN, a wearable sweat-based diagnostic patch for early-stage breast cancer detection. Combining colorimetric sensing and AI analysis, it aims to provide a low-cost, non-invasive solution for underserved communities.

Online dating platforms struggle to balance emotional intimacy with user privacy. Most rely on static profiles and text-based chats, which lack the non-verbal cues—like gaze, facial expressions, and body language—that are essential for building trust. While video calls attempt to fill this gap, they introduce two critical issues: First, fixed camera angles in conventional video […]

We’re developing the first high-efficiency, ultra-long-range, multi-source thermophotovoltaic (TPV)-based wireless power transmission (WPT) receiver, designed to convert laser beams into electricity without relying on fragile PV surfaces. It uses a spectrally selective absorber to convert laser into tailored thermal emission, matched to low-bandgap GaSb cells. Unlike traditional laser WPT systems, it performs effectively in space, […]

This project will develop a small, energy-efficient hardware device that can quickly analyze DNA to detect harmful viruses or bacteria in real time. Unlike current systems that rely on internet access and cloud computing, this device will do all the work on its own, making it ideal for use in remote or low-resource areas such […]

Path Forward Neurotech is bringing cutting-edge brain training technology from York University’s research labs to the business world. The company has developed special exercises that combine thinking and movement using augmented reality (AR) technology, which has been shown to significantly improve brain function and quality of life in just 8 weeks. This project will help […]

I will be a Fellow at the University of Dublin’s School of Gender Studies and School of Social Policy, Social Work and Social Justice, to collaborate with an interdisciplinary set of scholars across the university, and to conduct archival research in the Irish Women at Work Oral History Project at University College Cork, the Jewish […]

This project will expand the research and development capacity of Treefrog for the creation of a social media strategy and analysis department offering unique, cutting-edge and anthropologically informed services for corporate clients. Anthropologically informed analysis goes beyond a superficial reporting of unanalysed numerical data to provide contextualized understandings based on broader social trends and cultural […]

This project uses approaches from anthropology, such as corporate ethnography, to guide the development of strategies for corporate social media management and analysis. Durable strategies and processes can be leveraged by Treefrog to help build a social media management and analysis department, increasing research and development capacity and sales. Through close collaboration with the programming […]

Many reports have established a correlation between obesity and diabetes with cardiovascular complications such as heart failure. This occurs due to changes in the structure and function of the heart, yet the precise mechanisms responsible for regulating these changes in diabetes remain to be determined. This project will focus on the role played by a […]

This project aims to help Numr Inc. better understand when and why customers behave in unexpected ways—like suddenly leaving a service or becoming dissatisfied—even when they seem similar to happy or loyal customers. The intern will build a prototype tool that groups similar customers together and then finds the ones acting differently in terms of […]