Absci AI Lab — AI Scientist Intern
Jun 2022 – Aug 2022
Built deep learning models for drug discovery research.
Nima Azbijari
AI researcher — deep learning & computational biology
About
My research revolves around building machine learning models for biological sequences. Specifically, my focus has been on language models for protein function prediction and long-context sequence models for metagenomic sequence modeling. Some side quests have involved work on heterogeneous graph neural networks for learning over biological databases and working on uncertainty measurements in antibody language models at a startup.
Outside of research I enjoy climbing and being outdoors.
Experience
Education
Oregon State University — Ph.D., Artificial Intelligence
Dec 2026
Research focused on deep learning and computational biology. Advised by Dr. Maude David.
University of Hawaiʻi at Mānoa — M.Sc., Computer Science
May 2021
Interpretable deep learning for genomic datasets. Advised by Dr. Mahdi Belcaid.
University of California, San Diego — B.Sc., Cognitive Science
Jun 2018
Minor in Computer Science.