`

Hi, I am Miguel. I am currently a Reserach Engineer at University College London, UK. As a Reserach Engineer at the forefront of innovation, I am leading the way in pioneering advancements in data-centric AI tools for Medical Imaging, MedTech, SurgTech, Biomechanics and Clinical Translation. My distinct passion is in driving innovation and impact in the realm of generative models for fetal imaging; sensor fusion data with wearables trackers and medical imaging; real-time AI for surgery and echocardiography; and child-robot interaction in low resource countries.

Short-bio & cv >

I am currently a Reserach Engineer at University College London at the Advanced Research Computing Centre and WEISS where I am pushing forward AI-based Surgical Navigation tools in collaboration with Stephen Thompson, Dr Thomas Dowrick and Prof Matt Clarkson. Previously, I was a Research Associate at King's College London within the School of Biomedical Engineering and Imaging Sciences where in the Vietnam ICU Translational Applications Laboratory (VITAL) project between September 2021 to September 2022, I scientifically contributed to automatic biometric recognition from Cardiac ultrasound data using deep learning techniques, these in collaboration with Dr Alberto Gomez and Dr Andrew King. Before that, as a Research Associate between April 2019 to August 2021, I pushed forward the state-of-the-art of ultrasound-guided procedures in the Guided Instrumentation for Fetal Therapy and Surgery (GIFT-Surg) project where I scientifically contributed to the development of new algorithms, software, hardware and medical device quality management systems, those in close collaboration with Prof. of Interventional Image Computing Tom Vercauteren and Dr. Wenfeng Xia. In July 2019, I was awarded a Ph.D. degree in Computer Engineering from the University of Birmingham where I investigated Nonlinear Analysis to Quantify Movement Variability in Human-Humanoid Interaction under the supervision of Prof. of Pervasive and Ubiquitous Computing Chris Baber and Prof. of Information Engineering Martin Russell.

I have 20 years' experience in human-robot interaction, electronics, mechatronics, signal processing and AI in healthcare, along with 12 years' experience as a teaching associate in Mechatronic and Computer Engineering and 5 years' experience in public engagement activities. I have passion for Open Science meaning that I open-sourced all my contributions to knowledge in my GitHub @mxochicale. I also tweet and re-tweet about AI, Robotics, Chaos, AI and Healthcare @_mxochicale, I write in my blog from time to time, and in my free time am trying to improve my juggling skills and enjoy time with my family and friends.

Curriculum Vitae

For detailed information, please see my two-page CV and its github repository:

News >

  • 2023-05-09: Qingyu Yang from the Institute of Health Informatics at UCL started her MPhil project under my supervision with the project titled: "High-resolution fetal brain ultrasound imaging synthesis".
  • 2023-04-28: "Towards Realistic Ultrasound Fetal Brain Imaging Synthesis" was accepted at Medical Imaging with Deep Learning 2023 (MIDL2023)
  • 2023-04-01: "Towards a Simple Framework of Skill Transfer Learning for Robotic Ultrasound-guidance Procedures" was accepted at Robot-Assisted Medical Imaging (RAMI) ICRA workshop 2023
  • 2023-03-20: In2research Placement project "AI-based evaluation of surgical skills using open-source software libraries" was accepted. Placement will be 8 weeks and take place between 1 June and 31 Aug 2023.
  • 2023-01-18: Xiaoning Zhu from the Institute of Health Informatics at UCL started her MPhil project under my supervision with the project titled: "Automatic Medical Image Reporting".
  • 2023-03-02: "Open-Source Software for Surgical Technologies" was accepted at the Hamlyn Symposium on Medical Robotics 2023, which I am leading!
  • 2022-10-10: I've started a new role as Research Engineer @ucl_arc / @WEISS_UCL to push fordward @scikit_surgery
  • 2022-09-30: Samuel Eyob and Pablo Prieto Roca successfully completed their projects on 3D fetal ultrasound synthesis for the King’s Undergraduate Research Fellowships 2022.
  • 2022-09-30: Tsz Yan (Goosie) Leung successfully submitted and presented her M.Sc. in Medical Engineering and Physics, getting distition. Project title: "Prototype and Study of a Motion-Image Fusion System for Obstetrics Ultrasound Transducer Tracking".
  • 2022-09-30: Michelle Iskandar successfully submitted and presented her M.Sc. in Healthcare Technologies, investigating Fetal Ultrasound Imaging Sysnthesis using DCGAN and FASTGAN.
  • 2022-08-30: Thea Bautista received the Maurice Wilkins Prize for the best MEng Individual Research Project in 2022
  • 2022-07-28: "Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs" was accepted at miua2022 conference. Paper, code data and more
  • 2022-03-11: Presented "Piloting diversity and inclusion workshops in AIR4Children" at HRI2022
  • 2021-10-05: Thea Bautista from the BMEIS started her Master engineering project under my supervision with the project titled: "GAN-based synthetic ultrasound imaging for fetal development".
  • 2021-09-01: I joined VITAL project as Research Associate, at King's College London within the BMEIS, to push forward the area of real-time automatic biometric recognition of Cardiac ultrasound using deep learning techniques.
  • 2021-07-01: I supervised two summer undergraduate projects from King’s Undergraduate Research Fellowships. Amal Hussein created new designs of 3D printed probes for an ultrasound-guidance simulator and Guilherme Gomes de Figueiredo explored the promising area of synthetic ultrasound imagining with AI
  • 2021-03-08: Presented "AIR4Children: Artificial Intelligence and Robotics for Children" at HRI2021
  • 2021-01-07: King's Public Engagement Award on FETUS: Finding a fETus with an Ultrasound Simulator
  • 2020-10-15: Alexander Mitton, my first supervised Master student at BMEIS, won the award of outstanding individual project
  • 2020-09-11: Presented "open-corTeX: A continuous integration framework for open scientific communication" at RRTS20
  • 2020-04-14: King’s Health Partners grant for the project "Sensory system abnormalities in childhood dystonia" lead by Verity McClelland and in collaboration with Carlos Seneci

Publications >

Projects >

List of projects I am leading (or had led):

  • 2021-2022 GAN-based synthetic ultrasound imaging for fetal development
  • 2021-2022 Towards simple and effective ultrasound-guidance procedures
  • 2021-2021 Simulator of ultrasound-guided needle for public engagement events [ ]
  • 2020-2021 Low-power vibrational stimulator to study evoked cortical responses
  • 2020-ongoing I am innovating at "AIR4Children: Artificial Intelligence and Robotics for Children" in low resource income countries [ ].
  • before-2020 You might like to have a look to some of my previous projects: demos of human-robot interaction and others.

Contact me >

I am always keen to hear about academic and industry opportunities. Please do not hesitate to drop me a message to touch base: m.xochicale@ucl.ac.uk.