With over a decade of experience at the intersection of molecular biology and data science, I specialize in leveraging advanced machine learning techniques to unlock insights from complex biological data. My work focuses on developing innovative solutions for pressing challenges in bioinformatics and computational biology.
- π¬ PhD in Genetics and Molecular Biology
- π» Specialist in Machine Learning and Big Data
- 𧬠Expert in bioinformatics and computational biology
- π Experienced in multi-omics data integration and analysis
- π Analyzing biomanufacturing time series data
- π Developing heterogeneous graph neural networks for protein function prediction (and for other cool applications as well...)
- π§ Exploring advanced applications of Transformers in biological sequence analysis
- π Integrating multi-omics data for comprehensive biological insights
- PROT2GO HGNN: A heterogeneous graph neural network for protein function prediction using Gene Ontology annotations
- Custom Image Processing: Developed scripts for plant phenotyping and root analysis
- Multi-omics Data Integration: Built pipelines for integrating various types of biological data
My work lies at the crucial intersection of data science, agriculture, and biotechnology. I am passionate about harnessing the power of machine learning and bioinformatics to drive innovation in these vital sectors:
- Crop Improvement: Utilizing genomic data and machine learning to accelerate crop breeding programs and enhance traits such as yield, disease resistance, and climate adaptability.
- Precision Agriculture: Developing predictive models for optimizing resource use, pest management, and harvest timing based on multi-source data integration.
- Biotech Innovations: Applying graph neural networks and knowledge graphs to uncover novel protein functions and potential targets for biotechnological applications.
- Sustainable Solutions: Leveraging data-driven approaches to support sustainable farming practices and reduce environmental impact in agricultural systems.
I am committed to bridging the gap between cutting-edge data science techniques and real-world agricultural and biotechnological challenges. My goal is to contribute to a more sustainable, efficient, and productive future in these critical domains.
Let's connect and explore how we can push the boundaries of agro and biotech innovation through the power of data!