Ali alfaraj
Computational Biology and Bioinformatics at KAUST
Saudi Arabia
Hi, I'm ali alfaraj!
Research-Genomic Outlier Detection Project at KAUST
Bioengineering graduate with a background in physics, specializing in bioinformatics and computational biology. Experienced in developing machine learning models, statistical analyses, and time-series forecasting for health and genomic data. Skilled in Python and R, with a focus on applying technology to solve real-world challenges in health and life sciences.
Socials
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Experience
Research-Genomic Outlier Detection Project
November 2024 - December 2024
- Processed RNA-seq data by aggregating exon-exon junctions into clusters using R, enabling compatibility with SPOT's statistical models.
- Reimplemented the SPOT (Splicing Outlier Detection) framework in R to improve flexibility and integration with existing bioinformatics workflows.
Plant.Digital
Intern
June 2024 - July 2024
• Support for Digital Solutions technical proposal for a major petrochemical company.
• Developing knowledge of integrated Manufacturing Operations Management (iMOMs).
• Research of Digital Twin Definitions and Application for Oil and Gas.
• Introduced bioinformatics to Plant. Digital and helped educate the team about other applications of advanced analytics and digital twins
Research-Health Metric Analysis Project
January 2024 - May 2024
- Aggregated over 1.5 million raw XML records into a unified dataset combining workout and health data.
- Analyzed physical activity patterns to explore their relationship with key health metrics, including resting heart rate (RHR), heart rate variability (HRV), and VO2Max.
Education
KAUST
Graduated in 2024
Certificates & Badges
No certificates or badges added
Projects
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Languages
English
Professional
Skills
Machine Learning
Statistical Models in R
Data Analysis
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