Daniel Varela is a senior research investigator and computational structural biologist with 11 years’ experience applying AI and evolutionary algorithms to protein structure prediction, antibody design, and docking. Currently at Isomorphic Labs after a senior scientist role at AstraZeneca, he combines hands-on expertise with AlphaFold, Rosetta, RFDiffusion and ProteinMPNN with production-focused pipeline engineering and cloud-accelerated workflows. His postdoctoral and PhD work produced fast, memetic-algorithm docking approaches and deep-learning–guided de novo design that sped up sampling up to 30x versus RosettaDOCK. Comfortable in C++ and Python and fluent in TensorFlow/Keras and scientific tooling, he bridges rigorous research publishing with practical drug-discovery impact across oncology, immunology and CVRM. A multidisciplinary collaborator who spent time refining cryo-EM–guided refinement at RIKEN, he uniquely blends computational creativity with large-scale experiment orchestration and teaching experience.
11 years of coding experience
6 years of employment as a software developer
Exchange program for Master’s Degree in Computer Science , Exchange program for Master’s Degree in Computer Science at Universidad de Viña del Mar
Doctoral program in Computer Science Computer Science, Doctoral program in Computer Science Computer Science at Universidade da Coruña
Bachelor of Applied Science (B.A.Sc.) Information Technology, Bachelor of Applied Science (B.A.Sc.) Information Technology at Turku University of Applied Sciences
Contributions:60 commits, 42 pushes, 1 branch in 3 years 1 month
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