This page links to my professional profiles and my CV. I work at the intersection of wet-lab microbiology and computational analysis: reverse β-oxidation (microbial chain elongation), converting food and organic waste into fuels, genome-based trait prediction, and machine-learning driven process optimization. Current work focuses on developing subcritical hydrocarbon co-solvent pyrolysis methods to increase fuel yield and quality.
Reverse β-oxidation (microbial chain elongation) for medium-chain fatty acid generation, waste valorization into energy-dense fuels, and genome-scale functional prediction using comparative genomics and machine-learning models. Actively integrating wet-lab microbial workflows with computational pipelines to build end-to-end systems for waste-to-fuel bioprocess optimization
Python, R, C++, BLAST, genome annotation, data analysis, basic ML workflows, spectrophotometry, microbiology techniques, lab instrumentation.