Engineering applications of artificial intelligence · 2024
Cited
4
Resume (English only)
Academic Achievements
Pioneered several powerful computational software including Monocle 2/3, Dynamo, and Spateo. Actively working on building foundational models of single cells using attention-based transformers and diffusion models, aiming to develop an end-to-end predictive foundational software ecosystem, Aristotle, for quantitative spatiotemporal modeling of spatial and single-cell multiomics.
Research Experience
Developed Monocle 2/3 software for inferring developmental trajectories from single-cell genomics data. Collaborated with Sreeram Kannan and Arman Rahimzamani on Scribe, a tool for learning causal regulatory networks. Co-created Dynamo with Yan Zhang, capable of making non-trivial predictions about the optimal set of reprogramming factors. Worked with Joseph Min to develop Dynast, an efficient quantification toolkit for metabolically labeled enabled scRNA-seq datasets. Currently leading a team developing the Spateo framework for multi-scale modeling of emerging spatial genomics datasets.
Education
Ph.D. from the University of Washington under the guidance of Dr. Cole Trapnell; Postdoctoral fellow with Dr. Jonathan Weissman at the Whitehead Institute and MIT.
Background
Research interests include single cell/spatial genomics, machine learning, and heart evolution/development/disease. Committed to unraveling and predicting the intricacies of gene regulatory networks and cell-cell interactions critical in mammalian cell fate transitions over time and space.