Rokos Postdoctoral Research Associates

Each year outstanding researchers holding recognised postdoctoral positions at the University of Cambridge are granted PDRA status at Queens’ College. The Rokos Postdoctoral Research Associates are members of the SCR, given rights to dine at High Table and granted a personal research allowance. This programme allows them to flourish and build relationships in an outstanding academic community.

Our current Rokos PDRAs are:

Name Research interests
Dr Sabine Cadeau Dr. Sabine Cadeau received her PhD in Caribbean-Atlantic World and Modern Latin American History from the University of Chicago. She held postdoctoral fellowships at Rutgers University 2015-2016 at the Yale University Agrarian Studies Program 2016-2017, and was visiting assistant professor in history at the University of South Florida at Tampa where she taught courses on Atlantic Slavery, Colonialism, and Introduction to Caribbean History. Her book titled More Than a Massacre: Racial Violence and Citizenship in the Haitian-Dominican Borderlands is under contract with Cambridge University Press. She is currently a postdoctoral fellow in the University of Cambridge Legacies of Enslavement Inquiry and her work in Cambridge archives, libraries, and museums focuses on financial dimensions of the Atlantic slave complex in the early modern era.
Dr Jennifer Cobbe Working closely with computer scientists, my research looks at law and regulation of new and emerging technologies (typically but not exclusively involving AI/machine learning). I am interested in legal responses to new technologies, online platforms, and automation; technical mechanisms for improving legal compliance and accountability of complex systems; and theoretical approaches to privacy, surveillance, and tech industry business models. Current research projects focus on legal standards for automated decision-making and the development of legally compliant and reviewable automated systems; regulation of algorithmic personalisation and targeting in online services; and the prospects of various technical means for facilitating compliance with legal and regulatory requirements.
Dr Mirjana Efremova My primary research goals are directed towards understanding how cell-cell communication networks in different cellular microenvironments shape diverse cellular responses and functions. In my current research at the Wellcome Sanger Institute, I am applying single cell technologies and computational approaches to study the cellular diversity within the tumour microenvironment and the maternal-fetal interface and to understand the underlaying mechanisms involved in mediating interactions in those environments.
Dr Jinqi Fu My current project aims to develop an in-situ barcoding technology to stably integrate unique DNA sequence as "name tag" into each mammalian cell's genome. Because DNA-based lineage tracking is both quantitative and high-throughput, the development of this tool in mammalian cells has the potential to shed light on many questions in cancer and stem cell biology.
Dr Nicolaus Heuer My research field is Geometric Groups Theory. I study symmetries (called groups) using several techniques from other fields of pure mathematics, such as geometry, topology, algebra and combinatorics, but also computer science.
Dr Mona Jebril Higher Education; Political Economy; Conflict-affected areas; MENA (Middle East and North Africa); Social justice and Development; Symbolic violence; Interdisciplinary/ multidisciplinary studies.
Dr Chen Jiang In my PhD study I worked on ultra-low-power fully-printed organic transistors. I received an IEEE Electron Devices Society PhD Student Fellowship 2018 and was also the winner of the Cambridge Society for the Application of Research Award 2018. With support from the Wellcome Trust Junior Interdisciplinary Fellowship, I am currently working on flexible electronics for human-machine interface such as cochlear implants, including electrical stimulus spread in cochleae, 3D printed artificial cochleae, and micro-fabricated electrode arrays for stimulation/recording.
Dr Jonas Latz In my research, I am studying inverse problems. Inverse problems concern the fitting of mathematical models to observational data. Consider, for instance, a mathematical model describing the weather development over the next couple of days. To use this model now to forecast the weather it need to be calibrated with regard to the current weather. Other examples of inverse problems are the training of machine learning models and the reconstruction of medical images from scanner data. I am contributing to the field of inverse problems by answering mathematical, statistical, and computational questions.
Dr Eduardo Machicado Human adaptation to catastrophic environmental change has become one of the most relevant topics in the news today. Regardless of what many believe, climate change is not necessarily a recent phenomenon. Moreover, there is increasing evidence that it played an essential role in social evolution throughout at least the last 5000 years of human history. Considering the relevance of this issue in modern times, our knowledge of the complicated relationship between society and the natural environment remains sparse and incomplete. For my PhD and Post-Doctoral position at the University of Cambridge, I have been doing research bridging archaeology and environmental science. With the generous support of the Gates Cambridge Trust, the Board of Graduate Studies, and Queens' College, several expeditions were set up to gather data on the impact of early deforestation, the development of intensive agriculture, and urbanization in the prehistoric world. I have been particularly interested in the natural and cultural history of wetlands like the tropical savannas at the edge of Amazonia, and, in collaboration with the Cambridge Archaeological Unit, the coastal plains of the Fenland in eastern England. In collaboration with other prestigious research institutions, our current scientific work is attempting to provide a more nuanced perspective on the effect of climate change in economic development and social and political conflict.
Dr Hélène de Maleprade My research focuses on experimental fluid mechanics. My last work aims at understanding the swimming of micro-organisms, typically algae. I study their phototactic behaviour and their swimming in complex environments through series of experiments completed by theoretical models. I am also particularly interested in interfacial and wetting problems, like the dynamical behaviour of drops and bubbles at the vicinity of a solid surface.
Dr Nghia Q. Nguyen My work focuses on developing new signal processing algorithms to enhance the quality of medical ultrasonic images. It lays at the intersection of diverse areas, including image science, ultrasound imaging, signal processing, and machine learning. Our recent projects involve developing new ultrasound beamformers to generate very high resolution ultrasound image on the entire imaging plane using either a standard pulse-echo sequence or an advanced coherent plane-wave compounding. Currently, I am interested in developing machine learning models to combine high-order statistics of ultrasound data to analyse the microstructure of underlying tissue at sub-resolution scales of an ultrasonic imaging system.
Dr Seraina Ruprecht My research focuses on two important fields of Graeco-Roman history: Classical Athens and the Later Roman Empire. I am particularly interested in questions related to social networks, religious conflicts and identities, as well as gender studies. During my stay in Cambridge, I will mainly pursue a project entitled "Masculinity on Stage: Gender and Politics in Classical Athens", in which I will analyse the effects of the democratization of Athens on the notions of masculinity.
Dr Tamsin A. Spelman My research uses mathematical and computational techniques to address problems in microscale systems. I have an ongoing project modelling blood flow in the human eye, aiming to understand the observed patterns of bleeding after trauma. My primary research in the Sainsbury Laboratory is studying how nucleus morphology impacts growth within the root hair cell of a plant, specifically Arabidopsis.