Lab Members
Flavia Mancini – Head of Nox Lab
Flavia is an Assistant Professor in Innovative Computational Methods and MRC Career Development Award fellow at the Department of Engineering, University of Cambridge. Nox Lab is based in the Computational and Biological Learning research group, Division of Information Engineering. Flavia trained in neuroscience at the University of Milan, University College London and University of Cambridge. She is also a Fellow at Pembroke College, Cambridge.
Carl Ashworth
Carl is a PhD candidate in Engineering at the University of Cambridge, funded by an EPSRC PhD studentship. In his PhD, he aims to understand the neural mechanisms involved in body homeostasis and endogenous pain regulation from a theoretical perspective, using insight from control theory. On the side, Carl is a keen musician, and holds a Diploma in Trombone.
Qingyun Chen
Qingyun is a PhD student in Engineering at the University of Cambridge under the supervision of Flavia. He is interested in the modelling of pain reguration loops especially in brainstem. A more specific functional part will be periaqueductal gray and its related parts, if everything goes well. He was trained in Cambridge as an undergraduate engineer majoring in bioengineering, infomation, control, and mechanics. He also completed an MEng in the department of Engineering.
Benjamin Slater
Ben is an ESRC funded 1+3 PhD student in Psychology and Engineering, jointly supervised by Professor Lucy Cheke and Flavia. Ben is working on developing ways to assess the capabilities of artificial agents, as part of the Animal AI project. Prior to this he completed an MCompSci Computer Science at the University of Oxford and worked as a Software Engineer.
Nicolas Anguita
Nicolas will start his PhD in Engineering in Lent 2025. Nicolas has a background in mathematics and computer science from Imperial College, London.
Saeyeon Kwon
Saeyeon is a research assistant in the Nox Lab. She works on statistical learning and decision-making in patients suffering from chronic pain, using modeling, behavioral analysis and neuroimaging methods. More broadly, her interests include (i) understanding the relationship between brain function —particularly in learning— and activity across different levels, and how it influences behavior in chronic pain, by using tools from engineering, statistics, physics (ii) the methodological aspects in neuroscience, especially related to novel machine-learning approaches, (iii) translational research. She holds an M.Eng. in Applied Mathematics from ENSAE-Institut Polytechnique of Paris, an M.S. in Cognitive Science from ENS Paris/UPC (Cogmaster) and a Master in Management from HEC Paris.
Gaia Pantaleo
Gaia is a research assistant in the Nox Lab. She works on statistical learning and its effect on the endogenous regulation of pain signals and decision-making, using a range of computational, neurophysiological and behavioural research methods. More specifically, she is interested in understanding how learning shapes pain perception and exploring how these processes may malfunction in chronic pain patients. Gaia has a MSc in Computational Science from the University of Amsterdam and a BSc in Artificial Intelligence from the Vrije Universiteit Amsterdam. In her free time, she enjoys staying active with fitness, singing, and has a strong passion for learning new languages.
Alumni
Sruthi Srivinasan |Maeghal Jain | Jakub Onysk | Swati Rajwal | Xuanci Zheng | Mia Whitefield | Georgia Turner | Agatha Anet | Anna Guttesen | Karina Dolgevica | James Steckelmacher | Armando Bauleo | Alessia Pepe | Giulia di Stefano | Anne-Lise Beaumont