Yohei Rosen

This paper develops a cloud-connected stem cell platform to enhance scientific identity in underrepresented students, showing improved outcomes in competence and research readiness.

This paper develops a 3D-printed, servo-actuated microvalve system for automated organoid culture, validated in mouse and human models with comparable viability and gene expression to manual methods.

This paper introduces an automated in-incubator microscope for long-term live cell imaging, enabling high-frequency, continuous data collection with improved thermal stability and operational reliability.

This paper introduces vascularized cortical assembloids (vCAs) that model neurovascular co-development and show improved cellular specialization and connectivity compared to standard cortical organoids.

This paper introduces a sealed recirculatory system for organoid culture that eliminates the need for CO2 incubators and enables continuous live imaging and metabolic viability.

The paper presents an exact version of the Li and Stephens forward algorithm with sublinear runtime for haplotype inference, enabling efficient analysis of large reference panels.

The paper introduces snarls and ultrabubbles for bidirected graphs to represent genomic variations and presents an algorithm for their detection using cactus graphs.

This paper introduces a haplotype model based on variation graphs to represent complex genetic variation, improving upon traditional methods limited to linear haplotype panels.

The paper introduces bundle structures and extends ultrabubbles to describe genetic sites in sequence graphs with linear-time identification.