Creative, dedicated, and passionate Computational Biologist with extensive experience in genomics and human health. Proficient in Python, Unix systems, statistics, big data analysis, and machine learning. Experienced in cloud computing (AWS) and version control (GIT). A team player and an independent learner.
leading projects in complex plant genomics, including developing predictive models for breeding purposes. Implementing of existing bioinformatics tools as well as developing custom algorithms and pipelines.
Designing libraries through computational structural analysis, utilizing yeast and phage display selections to develop tailor-made antibodies.
Development of diagnostic biomarkers and therapeutic antibodies for lung and colorectal cancer based on glycosylation abnormalities.
Fluency in Python
Unix system sexpertise
Big data analysis
Predictive Modeling
NGS DataAnalysis
AWS cloud environment
High-Throughput Screening