Governance

My research is in psychology and education, with my postdoctoral work focussing on mental health and wellbeing in childhood and schools. Recent and ongoing studies I have worked on include researching teachers’ experiences of student conduct problems; exploring the long-term effectiveness of an early mental health intervention, to reduce children’s challenging behaviour; and investigating the impact of the Covid-19 pandemic on teacher wellbeing.

As President of the Trinity College Postdoctoral Society, I aim to maintain, and expand upon, an engaging programme of events throughout the year to appeal to our diverse membership.

Treasurer – Xuan Trung Nguyen
[email protected]

My name is Xuan Trung Nguyen. After finishing my PhD in physics at the University of Oldenburg in Germany, I joined Di Martino group at Department of Materials Science and Metallurgy in West Cambridge to study the optical properties of high-temperature superconductors.  

After joining the Trinity college postdoc society in 2023, I started playing tennis organised by our former Events officer Adrian and rowing, after a loooong break, with the senior club of Trinity college. 

I have two degrees in physics from the RWTH Aachen (MPhys) and Cambridge University (PhD) and work currently part-time at the Physics and Materials Science and Metallurgy departments. My research interest is in the field of nano-scale magnetism and its many applications ranging from (superconducting) spintronics to bio-sensing. Currently, I am working on spin-polarised low-energy electron interactions. If I am not looking after my kids, my hobbies include hiking, tennis, football and guitar.

I am a postdoctoral fellow at the MRC Laboratory of Molecular Biology. My research focuses on DNA replication. Specifically, my work involves identifying and studying the sites in the genome where replication initiates, known as replication origins. I am currently mapping replication origins in several species in the aim of studying their evolution and impact on the genome. This work follows up on my PhD research in Montpellier, France, where we conducted a proteomic approach to study factors involved in the regulation and activation of these origins

My research is at the interface of earth sciences and applied mathematics. I am a McDonnell Foundation Research Fellow based in the Department of Applied Mathematics and Theoretical Physics. I thoroughly enjoy giving back to the Postdoc Society by serving on
the Committee: to make the Society as inclusive and welcoming as possible, and formerly as Secretary and co-Catering officer.

I am an Affiliated Lecturer in Film Studies in the Centre for Film & Screen Studies, University of Cambridge. My research interests include women’s cinema, the onscreen representation of childhood and adolescence, Italian-Austrian cinematic relations, African cinemas, transnational cinema.

My research focuses on DNA chemistry, with a special interest in sequencing technologies and innovative applications for DNA sequencers. When I am not in the lab, chances are high that you will find me spending time with my two beloved ponies. As the Events Officer for Sports and Social Events, I strive to organise fun events for everyone to enable networking and socialising in informal settings.

I am a Medicine Postdoc Fellow, and my research area focuses on the discovery of novel antibiotics against lung-infection-causing pathogens. Apart from engaging myself in finding solutions for the rapidly emerging antibiotic resistance, I enjoy engaging myself in intellectual, social, and cultural exchanges with others to foster cross-disciplinary relationships beyond lab walls. Before my postdoc at Cambridge, I was a Marie Sklodowska-Curie Actions Seal-of-Excellence awardee, Newton Bhabha UK-India International Fellow, Sakura Science Exchange and Japan-Asia Youth Exchange Fellow, and DST-SERB Senior and Junior Research Fellow, India

My research focuses on unobtrusive health monitoring and signal fusion to detect diseases at an early stage. I work on the Meerkat project, a collaboration between the Departments of Engineering and Paediatrics. The primary objective is to create a non-contact, camera-based monitoring system tailored for infants in intensive care. The project aims to leverage advanced machine learning, signal fusion, and computer vision algorithms to measure vital signs and abnormal movements. This will enable the detection of seizures, advancing monitoring capabilities and elevating clinical care standards.