The team

Computational biologist with 8 years in antibody discovery. Previously led computational design at a clinical-stage biologics company in the mid-Atlantic corridor. PhD in biophysics. Built Genolux after watching experimental screening consume budgets that structure prediction could have compressed.

Computational biology PhD. Former contributor to the Rosetta antibody modeling suite — wrote the CDR loop sampling code that underlies part of our interface prediction workflow. Built the ML infrastructure for protein structure prediction pipelines at a computational drug discovery startup before joining Elena to co-found Genolux.

Antibody engineer with a CRO background. Ran phage display and yeast display campaigns for 5 years before joining Genolux. Her direct experience with what happens between computational prediction and experimental confirmation shapes how we design the developability flagging system — she knows exactly what the model misses.

Protein language model specialist with a background in transformer architectures applied to biological sequences. Previously worked on representation learning for antibody sequences at a computational drug discovery startup. At Genolux, he works on the scoring model calibration and batch prediction infrastructure.

Structural bioinformatics. Maintains the SAbDab-derived training pipeline, benchmark evaluation scripts, and public dataset releases. Authored the CDR loop benchmarking preprint. Her work is the reason our accuracy claims are backed by verifiable, reproducible code.