Third-year Ph.D. student · University of California, Irvine
Yaqi Hu
I build machine learning methods for pathology images and spatial omics. Recent work predicts single-cell gene expression from histology and searches the non-coding genome for causal variants.
NeurIPS 2026sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics was accepted to the main track.
KDD 2026MUGO: Differentiable Combinatorial Optimization for Causal Variant Discovery in the Non-coding Genome was published in the KDD 2026 proceedings.
CIKM 2026STMoE: Multi-Scale Mixture-of-Experts for Single-Cell Gene Expression Prediction from Histology was accepted.
JudgeJudged oral and poster presentations at the 2026 UC Irvine Undergraduate Research Symposium.
JudgeJudged student projects in AI, machine learning and software engineering at IrvineHacks.
ACML 2024Presented our lab’s paper Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations in Hanoi. Best Student Paper Award.
