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senushi1234

Senushi D

@senushi1234

Medical Student MBBS Computational Neuroscience AI Researcher

Sri Lanka
Engels
Sommige informatie wordt in het Engels weergegeven.
Over mij
I am an ambitious medical student and computational neuroscientist bridging clinical medicine with AI-driven neurotechnology. I have a proven history of engineering translational AI frameworks for cognitive longevity and neurojustice, recognized through global championships like DevNetwork. My expertise includes deep learning for EEG analysis and predictive analytics for brain health.... Lees meer

Skills

s
senushi1234
Senushi D
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Bekijk mijn diensten

Onderzoek en samenvattingen
I will design high yield aesthetic medical study guides
Andere onderwerpen
I will assist you in anatomy, physiology, embryology, and medical subjects

Portfolio

Werkervaring

Medical Writer & Scientific Communications Specialist

Medical

Jan 2021 - Jul 2026 • 5 yrs 6 mos

Provide high-level medical writing, scientific communications, and clinical research documentation for academic faculties, healthcare publishers, and biotech developers. Specialized in translating raw experimental datasets, neuroinformatics parameters, and complex clinical architecture into peer-review ready manuscripts, educational collateral, and structured visual assets. Core Contributions & Deliverables: - Manuscript & Abstract Development: Draft, peer-review, and format scientific research papers, literature reviews, and clinical trial summaries across neuroscience, sleep medicine, and clinical anatomy. - Conference Asset Architecture: Synthesize high-density statistical parameters—including Welch's PSD, Intraclass Correlation Coefficients (ICC), and Pearson's r correlations—into structured, publication-grade conference posters and presentation decks. - Healthcare Education & Literacy: Design rigorous, consumer-facing health literature, medical anatomy study sheets, and clinical summary guides adhering strictly to AMA, APA, and ICMJE documentation standards. - Data Synthesis: Collaborate directly with medical researchers and clinical faculties to compile raw data endpoints into clear, logical, and visually accessible clinical narratives.