Vrishank developed a computational framework that uses doctors’ notes—such as radiology reports and discharge summaries—to predict cancer outcomes, enabling earlier, more personalized treatments and improving patient care.

Freja’s project explores using nitrogen-fixing legumes, specifically Sainfoin, to reduce fertilizer pollution in Danish seas by studying its symbiosis with Rhizobia bacteria and compatibility with local soils.

Amal’s project focuses on developing a low-cost, wearable breast ultrasound device that creates 3D images and shows blood flow to help detect and assess breast cancer more effectively, especially in women with dense breast tissue.

Aarushi’s project studied how Allium fistulosum roots and shoots respond to water, gravity, and magnetic cues under space-like conditions, helping improve farming in space and other controlled environments.

Carolina’s project aims to develop a sustainable treatment using a virus called PDCC-1 to fight antibiotic-resistant bacterial diseases in aquaculture, helping marine farming worldwide and promoting phage-based alternatives.

Anna’s project studies how the protein RECQ4 helps start DNA replication by forming tiny liquid-like droplets with MCM10, revealing insights into genome stability and links to certain disorders and cancer.

Márton’s project created a light-responsive molecular system called a [2]catenane, where tiny rings can move controllably when exposed to specific wavelengths of light.

Seong-ah’s project developed a computational model to efficiently predict how molecules release energy after being excited by light, offering a faster and more practical way to study photochemical reactions.

William’s project designs and creates fluorescent metal-organic frameworks (MOFs) that change color or brightness when interacting with water or small biological molecules, offering potential for chemical sensing applications.

Pragathi developed a low-cost, non-invasive nanomaterial system using fruit-based carbon dots, magnetic nanoparticles, and RNA molecules to detect exosomes and study aggressive Triple Negative Breast Cancer.

My research investigates how plants process and prioritize conflicting environmental signals, such as gravity, water availability, and magnetic fields, by analyzing physiological responses of Allium fistulosum under simulated microgravity conditions.

Lethabo’s project studies how well students and educators can distinguish human-written text from AI-generated text, revealing challenges in detecting AI content and raising questions about its role in education.

Jacopo’s project investigates the foundations of quantum physics by testing Bell’s Theorem and simulating quantum experiments to explore the validity and non-locality of the theory.

Dani’s project studied skyrmions—tiny magnetic whirlpools with potential for low-energy, high-density data storage—revealing how their behavior changes with depth inside materials, a key insight for future quantum technologies.

Yunze’s project designed and tested a 3D-printed quadruped robot that walks down a ramp using only gravity, studying how its shape affects movement to inspire more efficient, low-energy robotics.