About me
I am working as a Senior Researcher at University of Cambridge, United Kingdom. We are design and developing machine learning and statistical methods to (i) uncover biologically and clinically meaningful subpopulations of individuals within heterogeneous disease and clinical populations; and (ii) more accurately and differentially diagnose, monitor and predict disease course, risk and response to treatment.
I worked as a Postdoctoral Research Assistant at the Biomedical Image Analysis Group, University of Oxford. My research focused on biomedical image analysis, computer vision, and computational (machine-learning based) analysis of images.
In 2018-2020, I worked as a Reserch Fellow at the Computer Vision Lab, School of Computer Science, University of Nottingham, UK. From 2017-18, I worked as a Postdoctoral at the University of Science and Technology of China (USTC), China.
What i'm doing
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Multiomics Profiling
The most modern and high-quality R&D in Multiomics profiling.
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Medical Image Analysis
Machine Learning based methods development for different types of imaging, such as X-rays, CT (computed tomography) scans, MRI (magnetic resonance imaging) and ultrasound.
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Plant Phenotyping
Examining how deep learning can drive phenotyping systems and be used to answer fundamental questions in reproductive biology.
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AI Startup
Trying to take a deep understanding of AI technologies, strong business acumen, and a relentless drive to innovate and create value for customers.
Collaboration
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Dr Michael Pound
Dr Michael Pound is working as Associate Professor in Computer Vision at Department of Computer Science at University of Nottingham. I have worked with Dr Mike from 2018-2020 on an ambitious, innovative, interdisciplinary research project "LeMuR: Plant Root Phenotyping via Learned Multi-resolution Image Segmentation". We exploit the common structure of root image analysis tasks and recent advances in deep machine learning to produce a flexible plant root phenotyping tool that can be easily adapted, without re-writing code, to new laboratory and imaging techniques.
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Prof. Alison Noble
Prof Alison Noble is Technikos Professor of Biomedical Engineering Fellow of St Hilda's College at University of Oxford. I have worked with Prof. from 2020-2023 on an ambitious, innovative, interdisciplinary research project "PULSE" for exploring the use of artificial intelligence-based technologies to reduce the need for highly trained ultrasound operators. We apply the latest ideas from machine learning and computer vision to build, from real-world ultrasound scanning videos, eye-tracking and probe movement data, computational models of visual search and navigation.
