About me

Personal Statement

I am an expert in Molecular Biology, Genetics, Genomics, and Computational Genomics, with specialized training in Fungal Genetics. My research has led to groundbreaking discoveries in meiotic transvection and gene silencing mechanisms involving the model organism Neurospora crassa. Additionally, my experience extends to working extensively with other important model organisms, including Aspergillus nidulans and Saccharomyces cerevisiae.

Leveraging my unique integration of classical genetics and molecular biology with advanced computational techniques, I have developed novel algorithms and workflows capable of transforming complex biological datasets into digital formats optimized for machine learning and artificial intelligence applications. My proficiency includes extensive hands-on experience with next-generation sequencing (NGS), genome and transcriptome assembly, transcriptome quantification, and deployment of state-of-the-art bioinformatics software tools on both local computational resources and high-performance supercomputers.

Recently, my skillset has expanded significantly through extensive engagement in AI interaction engineering, prompt engineering, and AI annotation and training. I have honed my ability to precisely define complex problems, craft sophisticated prompts, and iteratively improve interactions with advanced AI models to achieve highly accurate and efficient results. Furthermore, my practical experience in annotating datasets and training AI models has positioned me uniquely at the intersection of biological sciences and artificial intelligence.

As a Principal Investigator, I have successfully managed and mentored interdisciplinary teams, guiding junior researchers to convert theoretical insights into actionable, rigorously tested computational solutions. My consultancy background has refined my strategic ability to prioritize tasks effectively and efficiently.

In summary, I am a forward-thinking, innovative professional whose expertise bridges the fields of molecular biology, genomics, computational biology, and artificial intelligence, making me uniquely suited to drive advances at the forefront of AI-driven biological research.