Summary
Diego Gomes is a postdoctoral computational biophysicist with nine years of experience applying molecular dynamics, high-throughput virtual screening, and free energy calculations to drug discovery and enzyme mechanobiology. He has built and managed HPC infrastructure across academia and national labs, led development of chemoinformatics and VMD tools, and contributed to the discovery of novel Smooth Muscle Myosin 2 inhibitors. Comfortable bridging research and engineering, he designs reproducible, ISO-aligned computational workflows and develops ML models for binding affinity prediction. An experienced mentor and instructor, he has taught computational chemistry worldwide and secured funding and resources to scale HPC capabilities. Based in Auburn, Alabama, he combines hands-on GPU cluster administration with an enthusiasm for data analysis (and a playful side that enjoys “playing with pandas and seaborn animals”).
9 years of coding experience
Doctor of Philosophy (PhD), Biophysics, Doctor of Philosophy (PhD), Biophysics at Universidade Federal do Rio de Janeiro
English, Spanish, French, Portuguese