- 2025, 'A DNA language model based on multispecies alignment predicts the effects of genome-wide variants', Nature Biotechnology.
- 2025, 'Genomic language models: opportunities and challenges', Trends in Genetics.
- 2023, 'DNA language models are powerful predictors of genome-wide variant effects', Proceedings of the National Academy of Sciences.
Research Experience
Research Scientist at Open Athena | AI for Science.
Education
PhD in Computational Biology from UC Berkeley; Licentiate in Computer Science from the University of Buenos Aires.
Background
Research Interests: Enjoying applied ML research, especially drawing connections between fields. In the last couple years, developing DNA language models to predict the effect of genetic mutations in humans and plants.