I'm a Data Scientist and Bioinformatics Researcher passionate about leveraging machine learning and computational methods to solve complex biological and medical problems. With a strong foundation in both computer science and life sciences, I bridge the gap between data and discovery.

• Bioinformatics & Computational Biology: Analyzing genomic data, microbiome studies, and metabolomics
• Machine Learning & AI: Building predictive models with TensorFlow, PyTorch, and scikit-learn
• Data Analysis & Visualization: Transforming complex datasets into actionable insights using Python and R
• Research & Publications: Contributing to peer-reviewed scientific literature in cancer research and cardiovascular studies

• Advanced machine learning applications in healthcare
• Gut microbiome analysis and its relationship with disease
• Metabolomic data analysis and biomarker discovery
• Cloud-based bioinformatics pipelines (AWS, GCP, Azure)

• Deep Learning for Medical Imaging: Developing CNN and transformer-based models for disease diagnosis and prognosis
• Natural Language Processing: Applying NLP techniques to biomedical literature mining and clinical text analysis
• Generative AI: Exploring large language models (LLMs) and their applications in scientific research and data analysis
• AI-Driven Drug Discovery: Utilizing machine learning for molecular property prediction and target identification
• Automated ML Pipelines: Building scalable MLOps workflows for reproducible AI research
• Explainable AI (XAI): Implementing interpretable models for healthcare applications to ensure transparency and trust

I'm always open to interesting conversations, collaboration opportunities, and knowledge sharing. Feel free to reach out through any of the platforms below:

• 💼 Professional: LinkedIn
• 💻 Code & Questions: Stack Overflow
• 🎮 Community: Discord
• 🐦 Social: X/Twitter
• 📺 Live Coding: Twitch

Whether you want to discuss bioinformatics, data science, machine learning, or collaborate on research projects, don't hesitate to get in touch!

I'm actively involved in scientific research at the intersection of bioinformatics, data science, and medical sciences. My work focuses on leveraging computational methods to advance our understanding of disease mechanisms and improve patient outcomes.

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