Machine Learning | LLMs & Agentic AI | Biomedical Data Science & Healthcare
Hi there, welcome to my website.
My story
I am a data scientist with 7+ years of bioinformatics engineering experience, now focusing on applied AI and machine learning. My work has always lived where data is noisy, high-dimensional, and consequential: clinical genomics, translational research, diagnostics, and healthcare analytics. A concise summary of this work is available on the Bioinformatics page.
My move toward AI and machine learning comes from both long-standing curiosity and a clear professional direction: intelligent systems are becoming central to scientific discovery, healthcare, and real-world decision support. I am especially interested in building models that are robust, interpretable, and useful beyond benchmarks.
Since fall 2025, I have been pursuing an MSc in Computer Science at Leiden University, specializing in Data Science. Building on my experience in biomedical research and data science, I am now particularly interested in LLMs, agentic AI, and trustworthy information retrieval, especially their applications in healthcare.
Key focus areas
- Large Language Models & Agentic AI — RAG, reasoning, and uncertainty-aware decision-making
- Machine Learning & Trustworthy AI — deep learning, model evaluation, and reliability
- Biomedical AI & Healthcare Data Science — medical AI applications, clinical data analysis, and predictive modeling
- Bioinformatics & Computational Genomics — clinical genomics, biomarker discovery, and multi-omics analysis
Education
- MSc Data Science (Computer Science) - Leiden University, The Netherlands (2025–2027)
- MSc Bioinformatics - The University of Edinburgh, UK (2015–2016)
- BEng Biomedical Engineering - Northeastern University, China (2011–2015)
Key Courses
- Agentic Large Language Models
- Advances in Data Mining
- Automatic Machine Learning
- Introduction to Deep Learning
- Reinforcement Learning
- Text Mining
- Information Retrieval
Certifications
Further links
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