Research

From injury
to evidence.

My work connects three questions: how we measure injury, how we evaluate medical AI, and how we understand recovery. I design studies, build analysis pipelines and evaluate medical-imaging models.

11 projects
Independent researchOngoing research

AnatoChain: learning anatomical corrections

I independently conceived and lead AnatoChain. The programme learns to rescue missed structures and refine predictions from mature segmentation models, testing correction alongside preservation of already accurate anatomy.

Current work examines how correction behaves across models and anatomical settings.

Peking University collaborationIn development

Measuring osteochondral injury

In Professor Dong Jiang’s group at the Institute of Sports Medicine, I contribute to lesion annotation and model development using a hospital imaging resource covering more than 1,400 patients. The project connects routine MRI with detection, localisation and quantitative assessment of osteochondral injury.

Sole-author study · PhyZioSubmitted

Target-specific model selection versus source-recipe reuse in medical image classification

I designed and led two 21-recipe evaluations across nine target tasks. The study tests when local validation labels improve model selection beyond reusing a source-selected recipe, with training updates matched per candidate.

Study & findings
Sole-author study · PhyZioSubmitted

Local Threshold Calibration for Imaging AI with Limited Positive Cases

Across breast ultrasound and chest radiography, I studied how the number of local positive cases shapes threshold stability, sensitivity targets and false-alert burden.

Study & findings
Sole-author study · PhyZioSubmitted

Recovering Imaging-AI Performance with Limited Local Labels

I compared threshold adjustment, source-model selection, classifier refitting and full-network fine-tuning under matched local-label budgets. The study connects performance recovery with false alerts and age-specific coverage in simulated review allocation.

Study & findings
RehabilitationDeveloping research question

Pain & function

Recovery beyond pain relief

Pain relief does not tell the whole story of recovery. I am exploring how pain, daily function and recovery goals can guide follow-up when rehabilitation moves home.

RehabilitationDeveloping research question

Home rehabilitation

The work behind recovery

What happens to the work of rehabilitation when care moves home? I am exploring what home and digital rehabilitation ask of clinicians, patients and families, and what existing evidence can tell us about those demands.

Corresponding authorRevised & resubmitted

From a clinical observation to a recovery study

A physiotherapist’s observation about earlier mobilisation prompted a public-data study of functional recovery after hip or knee replacement. I led the methods, analysis and research supervision. The manuscript has been revised and resubmitted to The Journal of Arthroplasty.

The question & collaboration
Evidence synthesisMSc dissertation

Exercise therapy across hip osteoarthritis stages

My MSc dissertation examined the effectiveness of exercise therapy in early- and end-stage hip osteoarthritis, supervised by Professor Toby Smith at the University of East Anglia.

Imperial collaborationReview in progress

Premature estrogen loss and osteoarthritis

As a co-author and second reviewer with the Imperial Osteoarthritis Research Group, I contribute to methods refinement, full-text screening and data extraction for a systematic review of premature estrogen loss and osteoarthritis.

Musculoskeletal imagingCollaborative research

Osteochondral structure

Looking beyond lesion size

My collaborative musculoskeletal research connects CT and MRI measurements with patient outcomes. Current work examines osteochondral lesions of the talus and the information subchondral structure adds beyond lesion size alone.