Image analysis
Here, I labelled numerous images and identified objects in images.
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I am a medical student and researcher with hands-on experience in data annotation, AI model training, and computer vision, particularly within neuroscience and neuro-ophthalmology. My work includes developing and implementing “Sydentify,” a Python and OpenCV-based pipeline for synapse identification in immunohistochemically stained tissue, as well as annotating and analyzing clinical imaging data using tools like ImageJ and OCT. I have contributed to AI-driven research in retinal image analysis, participated in systematic reviews involving bespoke data extraction for medical imaging, and am currently involved in AI model training for neurological research. My background combines strong analytical and coding skills with a deep understanding of medical data, making me adept at producing high-quality, reliable training datasets for machine learning applications in healthcare.
Here, I labelled numerous images and identified objects in images.
Helped segment videos and judge AI responses to them.
Here, I spent over 300 hours training medical AI on numerous advanced conditions such as acute open angle glaucoma. I helped to generate prompts and rubric criteria, working up to 10 hours a day.
Bachelor of Medicine, Bachelor of Surgery, Medicine
BA, Natural Sciences
Academic Supervisor and Clinical Skills Tutor
Research Intern