Research Enthusiast, Peer Reviewer, Community Service, Aspiring GP
Peer Reviewer
Community ServiceAspiring GPResearch EnthusiastPeer ReviewerCommunity ServiceAspiring GPPeer ReviewerCommunity ServiceAspiring GPResearch EnthusiastPeer ReviewerCommunity ServiceAspiring GPBehind the MaskPraneeth Roy.
Final-year MBBS student at JIPMER with a strong commitment to advancing primary care, inclusion health, and the social determinants of health. Actively preparing for a career as a General Practitioner in the United Kingdom, he brings a robust academic foundation that includes a certification in Drug Use and Harm Reduction from the London School of Hygiene & Tropical Medicine (LSHTM). Beyond his rigorous clinical training, he is a dedicated academic researcher and peer reviewer for high-impact journals such as PLOS ONE, Medical Hypotheses, and the Journal of Medical Internet Research (JMIR).
In addition to his clinical pursuits, Praneeth is a driven innovator at the intersection of digital health, artificial intelligence, and community-based care. He is the architect behind “Project Open Kettle,” a digital ethnography initiative designed to map non-clinical health barriers and mitigate isolation among vulnerable populations. Leveraging his background in software development and agentic AI, he actively seeks to modernize primary care systems, seamlessly combining data-driven technological solutions with empathetic, patient-centered advocacy.
Primary Med Stack
- Primary Care
- Inclusion Health
- Harm Reduction
- Social Determinants
- Evidence Synthesis
- Digital Health
Arsenal & ExpertiseMedical & Technical Skills.
- AdvancedClinical MedicineClinical
- FocusPrimary Care & GPClinical
- LSHTM CertifiedHarm ReductionPublic Health
- ProficientSocial DeterminantsPublic Health
- AdvancedResearch MethodologyResearch
- ProficientSystematic ReviewsResearch
- AdvancedManuscript Peer ReviewAcademic
- ProficientBiostatistics (R / Python)Research
- ProficientPredictive Modelling & MLTechnical
- ProficientAgentic AI SystemsTechnical
- ProficientSoftware DevelopmentTechnical
- ProficientDigital EthnographyResearch
Featured WorksProjects.
Machine-learning models that use routine clinical and laboratory data to anticipate chemotherapy response and toxicity, supporting safer, more personalised oncology decisions.
- Machine Learning
- Oncology
- Python
- Clinical Data
A UK-based community digital ethnography initiative mapping non-clinical barriers to health and building connection to reduce isolation among vulnerable populations.
- Inclusion Health
- Ethnography
- Community
- UK
Rigorous, constructive peer review for high-impact journals including PLOS ONE, Medical Hypotheses and the Journal of Medical Internet Research (JMIR).
- PLOS ONE
- JMIR
- Medical Hypotheses
- Evidence
Further research, community initiatives, digital health builds and clinical experience — the full story lives on my LinkedIn profile.
- Research
- Community
- Digital Health
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