Summary
Ralph Cacho is a PhD-trained researcher and educator blending a decade of hands-on protein engineering and natural products biochemistry with practical computational skills in Python, bioinformatics, Rosetta, and machine learning. As a STEP Fellow and former Baker lab postdoc, he designs de novo proteins, performs structural and thermodynamic characterization, and teaches data-driven approaches to protein structure prediction. His background spans enzymology, fungal genetics, metabolic engineering, and structural methods (NMR, X-ray, ITC), giving him a rare ability to move projects from genetic design through biophysical validation. He mentors students in applied data science and has translated research tools into classroom-ready activities, reflecting strong science communication experience from public outreach at the Pacific Science Center. Based in California, he combines academic rigor with practical software engineering instincts—often leveraging Python for both experimental data analysis and computational design workflows.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Chemical and Biomolecular Engineering, Doctor of Philosophy (PhD), Chemical and Biomolecular Engineering at University of California, Los Angeles
English, Tagalog