Alan is a bioinformatics scientist at the Allen Institute. His work at the institute focuses on the applications of AI and machine learning models for multimodal data to generate novel mechanistic insights into the immune system in health and disease.

Alan received his PhD in Computer Science and Computational Biology from Brown University at the Center for Computational Molecular Biology. He was advised by Dr. Lorin Crawford, and his dissertation work focused on developing and evaluating statistical and machine learning methods for modeling single-cell RNA-sequencing data.

Before his PhD, he received a Master's degree in bioinformatics from the University of Oregon and was a bioinformatics scientist at Illumina. After his PhD, he worked on evaluating single-cell foundation models at Microsoft Research New England.