People
Dr Amparo Güemes is Assistant Professor in Bioelectronics Systems at the University of Cambridge and a Royal Academy of Engineering and Rosetrees Research Fellow. She leads the Neuro-Metabolic Control Systems Lab.
Amparo earned her B.S. in Biomedical Engineering (2016) from the Polytechnic University of Madrid (Madrid, Spain) and her M.S. in Biomedical Engineering (2017) and PhD in Electrical Engineering (2021) from Imperial College London (London, UK). She was also a visiting PhD research fellow in the Computational Sensory-Motor Systems Lab at Johns Hopkins University. Her research has been recognised with awards and fellowships from Imperial College London, Rafael del Pino (Fellowship), Royal Commission for the Exhibition of 1851 (1851 Research Fellowship), L’Oréal UNESCO UK and Ireland For Women in Science Rising Talent Programme (Engineering Award), and the Worshipful Company of Scientific Instrument Makers (Beloe Fellowship).
Email: ag2239@cam.ac.uk
Research Associates
Dr Changchao Zhang received both his master’s (2021) and PhD (2024) degrees from Jilin University, focusing on flexible wearable strain sensing devices. Following his doctoral studies, he held his first postdoctoral position at Jilin University in 2024, working on flexible electrodes with integrated strain sensing. In 2026, he began his second postdoctoral position at the NeuMeC Lab, where he focuses on PEDOT:PSS bioelectronic interfaces for high-fidelity signal acquisition from the gastrointestinal and peripheral neural systems, supporting closed-loop bioelectronic systems.
Graduate students
Henryk Chan (Haolin Chen) is a PhD student in Engineering (Clare Hall) at the NeuMeC Laboratory. His research explores how metabolism affects neural activity during epileptic seizures. By developing implantable bioelectronic sensors that monitor both nerve signals and metabolic markers in real time, he aims to deepen our understanding of metabolism and its role in epilepsy. Before joining Cambridge, Henryk completed his MRes in Medical Device Design and Entrepreneurship at Imperial College London under Professor Dario Farina, where he developed fully wearable ultrasound-based human–machine interfaces for multi-degree-of-freedom prosthetic control. His broader interests include bioelectronic medicine, implantable sensors, and machine learning-driven physiological signal analysis for neurological and inflammatory disorders.
Eashan Ray Chaudhuri is an MPhil student in Translating Medical Device and Advanced Therapy Research. His work focusses on the effects of vagus nerve stimulation (VNS) on glucose metabolism when used to treat patients with drug resistant epilepsy and aims to identify a possible mechanism of action for VNS.
He is an intercalating medical student from King’s College London, taking a year out of medical school between the preclinical and the clinical years to study for a second degree.
Outside of academia, he enjoys gliding, fencing, scuba diving, pistol and gallery rife shooting, and video games.
Visitors
Ariadna Guindo-Arroyo is a Master’s student in Biomedical Sciences (Neurobiology track) at the University of Amsterdam. She completed her undergraduate degree in Biology at the Complutense University of Madrid, where her final thesis focused on TDP-43 proteinopathies and their link to cholesterol metabolism. This work contributed to a recent publication in Acta Neuropathologica, on which she is a co-author. During her first master’s internship at the Netherlands Institute for Neuroscience, she investigated how early-life sleep disruption affects cerebellar development and motor learning, using behavioural paradigms and immunohistochemistry. She is currently undertaking her second research internship in the NeuMeC lab, where she investigates how systemic glucose levels affect seizure dynamics and vagus nerve activity in a rat epilepsy model using hypoglycemic, euglycemic, and hyperglycemic glucose clamp techniques. Through these diverse research experiences, she is gaining a broad and interdisciplinary background in neuroscience, spanning molecular and clinical approaches, systems neuroscience, and engineering.