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About Me
Aditi is an analyst at Edge health, with a background in biomedical engineering and research in developing computational toolkits for healthcare. She recently completed her Masters in Healthcare Technologies from King’s College London (KCL).
During her studies, Aditi has conducted numerous quantitative research including the use of machine learning to synthesise pseudo-realistic melanoma lesions and developing a novel method for predicting depth of cochlear implants using preoperative MRI scans for improved operative outcomes.
She also worked with SSNAP (Sentinel Stroke National Audit Programme) to develop dashboards from a clinical and organizational audit of stroke data obtained from the NHS.