CHI Lab Alumni
Yang joined the CHI Lab in 2015 as the first KC Wong Fellow at Oxford University, a prestigious and highly competitive award to bring Chinese postdoctoral researchers to Oxford. In 2018, with the foundation of the Oxford University Research Centre in Suzhou, China, she took a leading role in collaborating with the research team at that site, working with UK and Chinese colleagues, with a special focus on new ML methods for handling genomics in infectious disease. Yang is now an Associate Professor at Shanghai Jiaotong University, one of China's leading science institutions, where she runs her own research lab.
Rasheed studied the MEng Engineering Science degree at Oxford, graduating from Keble College in 2015. Rasheed went on to work for Jaguar Land Rover for two years, designing automated production facilities, before joining CHI Lab for his DPhil. His research, published at ICML and others, focused on novel techniques for using reinforcement learning to for "student-teacher" learning with deep architectures, focusing on applications in improving patient flow within hospitals. Rasheed is now a data scientist at Oxford Nanopore.
Originally from Syria, Dani received his BS degree in biomedical engineering from Johns Hopkins University in 2018. In the same year, he embarked on a DPhil at the CHI Lab. His DPhil focused on learning strategies for "doing more with less", using biomedical sensor data as exemplars. Dani's research includes work at ICML, NeurIPS, and Nature Comms, among others, in which continual learning, contrastive learning, and other techniques are used to improve the performance of complex models for predicting healthcare outcomes. Dani is now a postdoctoral researcher at Caltech, USA.
Matthew received a BS degree in Mechanical Engineering and a minor in Management Science from the Massachusetts Institute of Technology prior to coming to Oxford as a Rhodes Scholar in 2018. His doctoral research centred around the China Kadoorie Biobank, of 500,000 participants, where he used machine learning methods to tackle epidemiological problems such as stroke risk. He worked closely with cardiologists and epidemiologists, producing tools to help us better understand the complex risks of stroke to the Chinese population. Matt is now pursuing a tech-legal career in the US.
Grace studied the undergraduate MEarthSci degree in Earth Sciences at the University of Oxford and graduated in 2017 before starting a DPhil within the NERC Environmental Research Doctoral Training Programme in the same year. Her research developed methods for understanding the process of eruptions in volcanoes, where she used active learning and other techniques to handle multivariate time-series data acquired from volcano monitoring stations. Grace is now an earth scientist with Arup.
After gaining her BEng degree in biomedical engineering at Peking University, Yanting undertook a research placement at Georgia Institute of Technology, Atlanta, USA. She joined Oxford as a member of Trinity College. Yanting's research focused on the use of deep learning techniques for improving our understanding of ECG data for cardiovascular disease, within the framework of the China Kadoorie Biobank programme. This very large collaborative programme involves over 6 million health records from the Chinese population. Yanting is now a Deep Learning Scientist at AIG.
Samaneh worked on CHI Lab's CRyPTIC project, funded jointly by the Bill and Melinda Gates Foundation and the Wellcome Trust. Her research focused on the prediction of antibiotic resistance in pathogens such as those that cause tuberculosis, in collaboration with the Centres for Disease Control (CDCs) of the UK, USA, China, and other nations. Samaneh is now Lecturer in Machine Learning for Healthcare at the University of Surrey.
Xinshao joined the CHI Lab from Queens University, Belfast, where he latterly completed his PhD in deep learning. His research interests lie in deep metric learning, which, within the CHI Lab, he developed as part of a programme of research in cardiovascular disease. His research collaborated with researchers in the China Kadoorie Biobank, focusing on the analysis of ECG data. Xinshao has now moved into the tech sector as an entrepreneurial machine learning scientist.
Farah gained her BSc at New York University Abu Dhabi, United Arab Emirates, before coming to Oxford as a Rhodes Scholar in 2016. Farah's DPhil focused on machine learning systems for a hospital-wide alerting system to assess patients continuously based on "big data" machine learning methods. Farah is a member of Balliol College, Oxford; Farah is now an Assistant Professor at NYU Abui Dhabi, her alma mater.
After her PhD degree and postdoctoral research in biomedical engineering from the Chinese University of Hong Kong, Xiaorong joined the CHI Lab to work on sensor informatics, and deep learning for understanding clinical data. Her research collaborated with clinicians in Primary Care and Acute Care, with a focus on developing systems for patients with lung disease (COPD). Xiaorong is now a Member of Faculty at UESTC, one of China's leading technology-focused universities.
Hamza received his MEng from Imperial College London in 2012, where he also studied his PhD. Within CHI Lab, Hamza joins the ESPRC-funded ASPIRE project as part of a joint collaboration with Information Engineering. He also led research into the "PatientFlow" project for optimising hospital resources using AI. Hamza is now with spin-out healthtech company, Albus Health.
Pulkit Sharma studied his PhD at the Indian Institute of Technology (IIT) in Mandi, India. This followed his M.E. degree in Electronics and Communication Engineering from Panjab University, India, in 2012. Pulkit joined CHI Lab to develop systems based on machine learning for analysing data from electronic healthcare records, in collaboration with the Oxford University Hospitals, taking a special interest in deep learning and federated learning. Pulkit is now Senior Data Scientist at McKinsey.
Born and raised in Nepal, Achut received his BS degree from Fairleigh Dickinson University, USA in 2008, and his MS and PhD degrees from Duke University, USA in 2012 and 2015, respectively. Achut worked on our water-security studies, funded by the UK Department for International Development and the Natural Environment Research Council. This involved close collaboration with our colleagues at the School of Geography and the Environment. Achut is now Senior Data Scientist at Save the Children.
Girmaw Abebe Tadesse
Girmaw completed his PhD at Queen Mary College, University of London. Girmaw is interested in developing deep learning techniques for healthcare applications including cardiovascular disease, cancer, and infectious diseases. During his time at CHI Lab as a postdoc, his research involved close collaboration with clinicians in China and Vietnam, where he focussed on deep learning for handling time-series sensor data. Girmaw is now a Senior Data Scientist at IBM Africa, Kenya.
Drew earned his BS degree from the University of Wisconsin-Madison before coming to Oxford as a Rhodes scholar in 2014. His DPhil focused on improving early warning detection of clinical deterioration by developing novel methods for estimating respiratory rate from wearable sensors. His work was patented and licensed to industry within the duration of his DPhil, and is now being implemented in clinical systems. Drew is now studying the Graduate Medicine course at Stanford University.
Mauro studied biomedical engineering at the Technical University of Lisbon, Portugal and worked in bioinformatics research in industry before joining Oxford in 2010. His DPhil focused on improving the detection of abnormalities in patient physiology in a large study in the Emergency Department of the Oxford University Hospitals. Mauro is a member of St. Hilda's College, Oxford, and was supervised by Prof. Lionel Tarassenko, and co-supervised by Prof. Clifton. Mauro is a Postdoctoral Researcher at the IBME.
John received studied Mechanical Engineering from the University of Bristol in 2014 before joining Oxford. His DPhil research focussed on creating automated systems for improving understanding of mental health disorders, often including mobile smartphones. This project encompassed signal processing, machine learning, and m-health. John is a member of Wolfson College, Oxford, was supervised by Prof. Maarten de Vos, and was co-supervised by Prof. Clifton. John is now in the healthtech industry in the USA.
Delaram completed her PhD at the University of Surrey, UK in 2011. She has five years of experience as a postdoctoral researcher at Imperial College London, University of Manchester, and University of Bristol. Delaram was a member of an EPSRC study on wearable health, to develop a novel integrated system including embedded intelligent algorithms using fused data streams from wrist-worn and ear-mounted sensors. This contributed to the design of a wearable multivariate patient monitoring system for use at scale in clinical practice. Delaram is now a University Lecturer at the University of Kent.
Nazli received her MSc degree from the University of Surrey in 2010, where she also completed her PhD degree. Within CHI Lab, Nazli joined the HAVEN project, funded jointly by the Wellcome Trust, the UK Department of Health, and CHI Lab's EPSRC "Challenge Award". Nazli focussed on machine learning approaches for better detecting the deteriorating patient using rich data from the electronic health record, and was involved in translating this research into a prototype for use within the NHS. Nazli is now a Senior Researcher at King's College, London.
Glen Wright Colopy
Glen received a BS at the College of William and Mary, and an MSc at North Carolina State University before to coming to Oxford for an MSc in Applied Statistics. His DPhil, as a Clarendon Scholar, focused on the use of Gaussian processes in monitoring the vital signs of acutely-ill patients. Glen is a member of St. Cross College, Oxford, and was jointly supervised by Prof. Stephen Roberts, within the Information Engineering branch of the Dept. of Engineering Science. Glen is now working on a healthtech start-up in the USA.
Xueyan joined the CHI Lab as a Chinese Academy of Sciences (CAS) Fellow, being affiliated with the CAS Institute of Policy and Management, Beijing. She received her PhD from the Chinese Academy of Sciences in 2009. Her research at CHI Lab focused on the development of mathematical models for risk analysis, especially a combination of statistical models and optimisation models. Her work included the study of jointly distributed random variables with Copula functions, and the quantification of risk using approximate inference and intelligent algorithms. Xueyan is now an Associate Professor at the Chinese Academy of Sciences, Beijing.
Nic studied Natural Sciences at the University of Cambridge and an MSc in Applied Statistics at the University of Oxford. He then joined Oxford in 2010. His DPhil research programme involved estimating ICU patient survival probabilities using machine learning, for use in hospital bench-marking and stratification of patients by risk, where his work is supported by Cerner Corporation. Nic is a member of Exeter College, Oxford, and was jointly supervised by Prof. Gari Clifford of Emory University, USA and Dr. Andrew Kramer of Cerner. Nic is now working with Oxford healthcare spin-out, Oxehealth.
Stijn joined the CHI Lab as a post-doctoral researcher from the Faculty of Engineering Technology at KU Leuven, Belgium. After a PhD at Hasselt University, he started postdoctoral research into applied statistics to support decision making in industry. His Oxford work was supported by the Flanders Research Foundation (FWO). Stijn worked on our collaboration with the China Kadoorie Biobank, and used extreme value statistics for novelty detection. He is a now Lecturer in Computer Science at KU Leuven, Belgium.
Peter gained his MEng in Engineering Science at Oxford before undertaking his PhD at King's College, London in 2013, co-supervised by Prof. Clifton. His PhD project focussed on the robust estimation of respiratory rate, and its subsequent use in dynamical time-series modelling for detecting episodes of patient distress. Peter was jointly supervised by Dr. Jordi Alastruey-Arimon of the Department of Biomedical Engineering at King's College, London and Prof. Richard Beale of Guy's and St. Thomas' NHS Foundation Trust, London. He is now a post-doctoral researcher at Cambridge University.
Kate studied at Stanford for her BS and MS degrees before coming to Oxford as a Rhodes scholar in 2012. Her DPhil combined machine learning with clinical data for immune diseases (IBD). The ultimate goal was to provide robust, real-time methods for supporting patient care. Kate is a member of Trinity College, Oxford, and had Prof. Holm Uhlig as her clinical co-supervisor. She is now at Apple Health, in California.
Maxim graduated from the St. Petersburg State Electrotechnical University and worked in industry (Motorola, Siemens, GE) before joining Oxford in 2010. His DPhil research resulted in tools for automated assessment of certain symptoms of mental health. It covered a broad spectrum of technologies, from mobile apps used for behaviour assessment, to wearable instrumentation for physiological measurements. Maxim is a member of Wolfson College, Oxford, and was jointly supervised by Prof. Gari Clifford of Emory University, USA. He founded Sentimoto, a healthcare spin-out company.
Marco studied BSc and MSc degrees at the New University of Lisbon, Portugal, and joined Oxford in 2010. His DPhil in the IBME was completed in 2015, which involved multivariate time-series modelling, using Gaussian processes, for detecting deterioration in vital-sign data acquired from post-operative cancer patients. His thesis was supervised by Prof. Lionel Tarassenko and was co-supervised by Prof. Clifton. Marco is now a Research Fellow at the Kadoorie Centre, Oxford.
Nazrul Anuar Nayan
Nazrul was at CHI Lab as a post-doctoral researcher, and came to Oxford from the National University of Malaysia. He received his BEng from the University of Tokyo in 1998, followed by MEng and DPhil degrees in electronics & information systems at Gifu University, Japan in 2008 and 2011, respectively. A particular emphasis of Nazrul's work involves the construction of m-health systems for use in the care of patients in developing regions. Nazrul is now a Senior University Lecturer at the National University of Malaysia.
Thanasis was a Wellcome Trust postdoctoral researcher at CHI Lab, and a Junior Research Fellow of Kellogg College, Oxford. His DPhil at the University of Oxford (2012) focussed on remote assessment of Parkinson’s disease using speech signals, and his research findings are currently developed by industrial partners. His research interests include time-series analysis, signal processing, and statistical machine learning, mostly in biomedical applications. Thanasis is now a University Lecturer at the University of Edinburgh.
Robert was a visiting PhD student from the University of Lübeck, Germany following completion of his undergraduate degree from Dresden University of Technology. He previously undertook his diploma thesis with Philips Research, Eindhoven, in the Netherlands. His work at CHI Lab included multivariate time-series modelling, using data from experimental studies that he has supervised. Robert is now Senior Data Scientist at Sensyne Health.
Sara completed her DPhil in Engineering Science, as a Rhodes scholar. She previously studied an MSc degree from the University of Oxford in 2009, as a Qualcomm Scholar, following an undergraduate education in Pakistan. Her research interests include signal processing and machine learning, with applications in health informatics such as patient monitoring and telehealth. Sara was supervised by Prof. Lionel Tarassenko, and co-supervised by Prof. Clifton during his postdoctoral research period (before CHI Lab was formed). Sara is now a Medical Statistician with the Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences at the University of Oxford.
Sam received an MSc degree from the Ecole National Superieure de Techniques Advancees, Paris (ENSTA-Paritech), and joined Oxford in 2008. His DPhil research focussed on the theory of multivariate extreme value theory (EVT), in which he made contributions in extending existing EVT to high-dimensional spaces. This work was demonstrated in application to the detection of physiological deterioration in large datasets of patient vital signs, collected from clinical trials in the US and UK. Sam was supervised by Prof. Lionel Tarassenko, and was co-supervised by Prof. Clifton during his postdoctoral research period (before CHI Lab was formed). He is now a Quantitative Analyst at Exane BNP Paribas.