Kainoa Nishida

Deep Learning Researcher @Zhanglab

Irvine, CA, US

Developed innovative models using continuous normalizing flows to represent RNA velocity as smooth probabilistic trajectories. • Distilled large DNA foundation models into compact student networks, significantly reducing inference time and memory usage. • Achieved near-teacher accuracy in regulatory-sequence classification and splice-site prediction with minimal computational resources.

UC Irvine

Computer Science, Minor in Mathematics

Irvine Valley College

Dual Enrollment

Arnold O. Beckman High School

Diploma of Education