AI for healthcare | Dev&Doc Podcast | Neurology Registrar
London, England, United Kingdom
Contact Info
7K followers
500+ connections
About
As a doctor, academic researcher, and AI clinical specialist, I have a deep knowledge and passion in implementing, researching, and evaluating emerging technologies and AI for healthcare
- Co-host of Dev & Doc: AI for healthcare Podcast - uniting developers and doctors and everyone in between to build healthcare models that matter.
- Clinician scientist that can code. I make AI models clinically useful for healthcare. Doctor with coding proficiency (python) and practical experience of designing, fine-tuning, implementing and clinically validating AI models in the NHS (over 35 AI use cases). Interest -LLM and NLP applications in health care, AI chatbots, AI triaging, clinical validation, research, model alignment, product design.
- Dual training neurology and internal medical doctor with a deep understanding of electronic health records, hospital workflows, clinical safety.
Contributions
Experience
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Podcast Host
Dev and Doc : AI for Healthcare
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Guy's and St Thomas' NHS Foundation Trust
Education
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King's College London
PhD Neuroscience / Machine Learning
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My PhD focuses on leveraging NLP technology to structure real-world EHR data (>1 million patients). I will then utilise this big data for virtual trial emulation /counterfactual analysis using the target trial emulation framework
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King's College London
PG Cert Applied Research Methods
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-Research and Clinical Practice
-Project Development and Grant Writing Skills
-Research Methods and Ethics
-Statistical Methods and Techniques -
Newcastle University
MRes Neuroscience Merit
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-Physiology and fundamentals of Neurological diseases
-Sensory systems
-Medical Technology Innovation
Exploration of pharmacologial therapies on novel targets for peri-tumoral epilepsy using human glioma tissue samples.
Medical technologies innovation - designing, product testing, implementing and growing medical innovations and start ups.
Licenses & Certifications
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SOM-XCHE0010 - Fundamentals of machine learning for healthcare
Stanford University School of Medicine
Issued
Publications
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Machine learning‐enabled multitrust audit of stroke comorbidities using natural language processing
European Journal of Neurology
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Effect of dapagliflozin in patients with heart failure
Drug and Therapeutics Bulletin
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