The FASt-mal Diagnosis System is led by an international multidisciplinary team from UCL Computer Science, in equal collaboration with the College of Medicine of the University of Ibadan (COMUI), Nigeria.
FASt-Mal PI, Dr Delmiro Fernandez-Reyes: Delmiro is Reader Digital Health and Intelligent Systems at UCL-Department of Computer Science (UCL-CS) and Adjunct Associate Professor of Paediatrics at the College of Medicine of the University of Ibadan (COMUI), Nigeria. His unique interdisciplinary expertise translates in large clinical biomedical-science studies where state-of-the-art computational methods and digital health approaches combine with novel molecular high-throughput technologies to underpin discovery and validation of disease biomarkers, their mechanisms and their interventional use for improving childhood health in low and middle-income regions of sub-Saharan West-Africa. Delmiro’s work amalgamates global health paediatrics, infectious diseases, data-science, digital health and intelligent systems aimed at tackling Global Health Grand Challenges such as childhood life-threatening malaria and tuberculosis. He founded with Co-Investigators at COMUI (2006) the Childhood Malaria Research Group (CMRG), a world-leading clinical malaria and research unit based at the University College Hospital of Ibadan, Nigeria, that underpins his group’s research. DF-R moved his MRC funding and malaria research programme to UCL-CS (2015) where his academic and research activities are part of the UCL-CS Intelligent Systems Group and UCL Institute for Digital Health (IDH).
Prof John Shawe-Taylor: John is Head of Department for UCL Computer Science and Professor of Computational Statistics and Machine Learning (CSML) within the CS Intelligent Systems Group. As Director CSML, his research focuses on machine learning theory, creation of novel machine learning algorithms and their application in different domains. John has been a key pioneer and expert in the development of novel machine learning approaches; support vector machines, kernel methods; sparse canonical correlation algorithms among others with extensive publications in basic and real world applied machine learning in biomedical domain.
Prof Mandayam A. Srinivasan is Professor of Haptics in UCL Computer Science, University College London, UK (2010) and Director of UCL TouchLab. At the Massachusetts Institute of Technology, United States of America, Mandayam is Director of the Touch Lab for Human and Machine Haptics.
Prof Biobele J. Brown is Associate Professor of Paediatrics, at the Department of Paediatrics, University College Hospital of Ibadan, College of Medicine of the University of Ibadan (COMUI), Nigeria. BJB is Paediatrics Haematology and Oncology Consultant at University College Hospital of Ibadan with expertise in paediatric infectious diseases such as HIV and malaria. BJB is co-Director of the Childhood Malaria Research Group (CMRG) Ibadan, Nigeria, an over ten-years long Nigeria-UK clinical malaria research unit that delivers critical academic clinical research expertise and infrastructure for large malaria studies. BJB contribution to science include the study of haematology disorders in malaria endemic areas such as sickle-cell disease. BJB is an active senior member of DFR’s research programme and is co-author with DF-R of several peer-reviewed research articles.
Dr Vijay M. Pawar: As co-founding Director of the TouchLab with a background in Computer Science, Robotics and Virtual Environments, Vijay leads a multidisciplinary team developing autonomous and semi-autonomous robotic tools to help manipulate objects across multiple scales beyond human capabilities. At the TouchLab, one end of the spectrum includes devices that allow operators to touch, feel and manipulate objects at the size of a cell, a technology which will be useful for a broad range of applications ranging from material science to microbiology and nano-medicine.
Dr Mike Shaw: Mike is Group Leader in Microscopy, Imaging and Optics, and leads the development and application of high resolution optical imaging techniques in the TouchLab. He has over 15 years of experience in the theory, design, development and application of optical measurement systems and for the past 10 years his research has focused on biological and biomedical imaging using novel optical and computational methods. Mike is also a senior research scientist in the Biotechnology group at the UK’s National Physical Laboratory, where he has established super-resolution fluorescence and adaptive optics microscopy capabilities.
Jonathan Cooper (JC) is a Senior Research Software Developer in Research IT Services (RITS), and leads for the group on projects in the life and medical sciences. He joined UCL in November 2016 after 12 years as a researcher at the University of Oxford. Generally, he is interested in the application of software engineering to computational biology, having worked mostly on the use of domain-specific languages to describe mathematical models of biology, and the tools required to make these usable for researchers. He was joint lead developer for the Chaste computational biology software, and creator of the Cardiac Electrophysiology Web Lab. He also set up and led a cross-University network for Research Software Developers at Oxford, was co-Director of the Systems Biology Doctoral Training Centre, and lectured XML for Oxford’s part-time MSc in Software Engineering.
Roland Guichard: Roland is a Research Software Developer in RITS. He graduated his PhD in theoretical Quantum Physics and specialised in the field of Attoscience and Quantum technologies. The former investigates the possibilities to image the fastest electro-nuclear events occurring at the atomic or molecular level using ultrafast femtosecond laser pulses. The latter focuses on the computation of qubit decoherence (loss of quantum phase coherence) induce by the semiconductor environment. Prior to joining RITS, he worked for a company in the Intelligent Mobility sector, optimising road traffic and pedestrian flow modellers and developing Human-Machine Interfaces for the occupants of driverless cars.
Lydia Zajiczek: Lydia is a PhD student working jointly with UCL TouchLab and the Surgical Robot Vision Group in Computer Science. She has been involved in academic research across a variety of fields, including biomedical engineering, atomic physics, synthetic biology and super-resolution microscopy. She previously worked in the Biotechnology and Earth Observation groups at the National Physical Laboratory developing optical instrumentation for a wide range of research and metrology applications.
Asif Tamuri: Asif is a Research Software Developer in RITS. He has a PhD in Computational Biology from the MRC National Institute for Medical Research where he studied influenza evolution using computational methods. Before joining UCL, he worked as a researcher at the EMBL European Bioinformatics Institute in Cambridge. His research focused on the design, development and application of high-dimensional probabilistic models and statistical inference to better understand the processes of molecular evolution.
Dr Muna Elmi: Muna is a senior research associate with a life science background working on developing micro-force and deformation systems (uFDS) for research in biomechanics and tactile sensation in the model organism C.elegans. Muna is also involved in the research and development of a new malaria diagnostic system utilising robotics, computer vision and machine learning to tackle the existing challenges with human-operated light microscopy.