Hi there! I am a 4th-year Biotechnology student passionate about bioinformatics and its applications in human health. I am constantly learning and developing skills to tackle complex biological problems through computational approaches.
- Transcriptomics and genomics applied to human health
Exploring how genetic information can be used to understand diseases, identify biomarkers, and develop new therapies. - Machine Learning
Learning and applying ML techniques to analyze biological data and uncover hidden patterns in large datasets. - Interdisciplinary integration
Combining biotechnology, programming, and statistics to create innovative solutions.
- Programming languages: R, Python (currently learning)
- Bioinformatics: RNA-Seq, differential expression analysis, genome assembly (getting started)
- Machine Learning: Basic concepts with interest in supervised models and neural networks applied to biological data
- Tools: Git/GitHub, statistical analysis and data visualization tools
- Transcriptomic data analysis: From data preprocessing to identifying differentially expressed genes.
- Machine Learning
- Advanced programming in R and Python for bioinformatics purposes.
- Develop bioinformatics projects focused on transcriptomics.
- Apply machine learning in genomic data analysis to identify biomarkers related to human diseases.
- Participate in interdisciplinary collaborations integrating biology, AI, and statistics.
If you share similar interests or have ideas for collaborative projects, I’d love to connect!
- LinkedIn: www.linkedin.com/in/pilar-leguiza