Neelakandan Rakesh Email & Phone Number

With a deep passion for bioinformatics, machine learning, and their transformative applications in healthcare, I focus on solving critical challenges in stroke therapeutics. My work involves developing predictive models for drug discovery and pathway classification, contributing to the advancement of stroke research with 8+ peer-reviewed publications and 2 patents.Key Expertise:Predictive Modeling: Applied machine learning and deep learning techniques to create advanced models for drug identification and pathway classification, accelerating drug discovery.Interdisciplinary Collaboration: Collaborated with cross-functional teams to develop and patent electrochemical sensors for real-time stroke detection, validated in-vitro.Omics Data Analysis: Conducted comprehensive Meta analyses to identify gender-specific biomarkers for stroke, utilizing tools like R and Python.Database Development: Built a specialized stroke research database, enhancing data-driven insights and research efficiency.In addition to my academic contributions, I’ve led data science teams in industry settings, delivering high-impact solutions:Spearheaded the development of custom NLP and LLM models for EHR summarization, boosting efficiency and revenue.Developed machine learning models for insurance and computer vision models for sports analytics, working with major industry clients.Driven by a passion for scientific inquiry and problem-solving, I excel at translating complex research into practical, impactful solutions.