I am Diego Taquiri-Díaz, a recent Biology graduate from Universidad Peruana Cayetano Heredia (UPCH), Lima, Peru. My current research focus is on bioinformatics and genomics. I am interested in applying and developing computational methods to address research questions centered around biological sequences such as DNA, RNA, and proteins. I am also exploring the use of machine learning and generative AI in biology to enhance our understanding of the "language of life."
- Gene Regulation: Predicting gene regulatory mechanisms from DNA sequences.
- Genetic Variants: Predicting the effects of genetic variants on diseases and protein function.
- Protein Function: Annotating the protein universe and detecting remote homologies, especially in metagenomics.
- Gene Expression: Utilizing single-cell RNA sequencing and spatial transcriptomics to understand cellular function and tissue organization.
- Genomics/Protein Language Models: Integrating large language models to predict biological phenomena at scale.
- Synthetic Biology: Designing functional DNA sequences and predicting their activity.
- Human Diseases: Understanding disease mechanisms to develop better treatments.
- Name: Diego Taquiri-Díaz
- Contact: [email protected]
- Phone: +51 949 503 024
- LinkedIn: diegotaquiri
- GitHub: diego-taquiri
- Twitter: diego_taquiri
Please feel free to browse my CV and reach out.