About
I’m in my final year of med school, and I’ve always been drawn to the way technology can shape the future of healthcare. My background in bioinformatics gave me a strong foundation in data science, and over time, I’ve used that knowledge to tackle real-world medical problems. I’ve worked on everything from analyzing genomic data to applying machine learning for disease detection. I’ve also built systems that help streamline medical processes, especially in humanitarian settings. I’m always learning, always adapting, and always looking for ways to bridge the gap between medicine and technology. The future of healthcare is changing fast, and I want to be part of that transformation.
Projects

Acute Leukemia Prediction with Machine Learning
Led a bioinformatics capstone project that applied machine learning techniques to classify and predict Acute Lymphoblastic Leukemia (ALL) and Acute Myeloid Leukemia (AML) using RNA-seq data.
Certificates
- A
AI in Healthcare specialization
Stanford Healthcare
Completed the AI in Healthcare course by Stanford University, enhancing a background in medicine and computational sciences with knowledge in AI applications such as medical imaging, predictive analytics, and personalized medicine, along with an understanding of ethical and regulatory considerations in healthcare AI. - B
Biomedical Researcher
CITI Program
Credential ID 49983024 - B
Basic Life Support
Beirut Lebanon
Credential ID 235609355437 - A
Advanced Cardiac Life Support
Beirut Lebanon
Credential ID 255626476526 - E
Excel Fundamentals
Datacamp
Completed the Excel Fundamentals track on DataCamp, developing skills in data preparation, visualization, and analysis using Excel. Learned advanced techniques such as pivot tables, conditional formatting, and efficient use of Excel formulas and shortcuts to streamline workflows. - A
Analyzing Genomic Data in R
Datacamp
Credential ID 526834 /nCompleted the Analyzing Genomic Data in R course on DataCamp, strengthening expertise in bioinformatics by learning key techniques such as differential gene expression analysis, RNA-seq, ChIP-seq, and advanced data visualization using Bioconductor in R. - S
SQL Associate Certification
Datacamp
Earned the SQL Associate Certification from DataCamp, enhancing expertise in database management systems (DBMS) with skills in PostgreSQL, NoSQL, data modeling, and efficient database querying and design. - P
Python data Associate Certification
Datacamp
Earned the Python Data Associate Certification from DataCamp! This certification reflects my skills in data analysis, Python programming, and data manipulation. Along the way, I honed my abilities in Pandas, NumPy, and data visualization, making data-driven decisions more efficient and insightful. - A
AI fundamentals
Datacamp
Completed the AI Fundamentals track on DataCamp, building expertise in foundational AI concepts such as large language models (LLMs), neural networks, generative AI tools, and natural language processing (NLP). Gained practical skills in prompt engineering, data preparation, and understanding AI ethics to apply AI-driven solutions effectively.