RNA Biology x Computational Genomics x AI for Science

Yuchen Cai

Ph.D. researcher at the State Key Laboratory of Genetic Engineering, Fudan University, developing computational methods and biological foundation-model workflows for RNA regulation and complex biological systems.

Computational frameworks for RNA regulation.

My work connects sequencing evidence, genetic mutants, machine learning, and biological model evaluation to make RNA regulation easier to inspect, annotate, and reason about across species and omics layers.

2019-2026

Ph.D. Researcher, Fudan University

Developed small RNA analysis frameworks, miRNA classifiers, mutant-informed annotation strategies, and RNA-end modification analysis workflows.

Now

Foundation models for biology

Exploring RNA language models, multimodal biological representation learning, and benchmarks across DNA, RNA, protein, and omics data.

Selected research projects

PSAF

Plant Small RNA Analysis Framework

A computational framework for plant small RNA analysis, hierarchical annotation, multi-mapping assignment, and mutant-informed miRNA identification.

small RNAmiRNARNA-seqmachine learning

BEACON

RNA Foundation Model Benchmark

Benchmark tasks and unified evaluation pipelines for RNA language models across downstream biological prediction settings.

RNA modelsbenchmarkingdeep learning

COMET

Cross-Omics Foundation Model Benchmark

A multi-omics benchmark spanning DNA, RNA, and protein tasks, focused on representation learning and cross-omics transfer.

multi-omicsfoundation modelsrepresentation learning

miRNA Annotation

High-confidence plant miRNA classification

Mutant-informed scoring and classifier design for re-annotating plant miRNAs and evaluating prediction tools.

plant biologyannotationclassification

Open research code and tools

Built across genomics, ML, and reproducible workflows.

PythonRBashSQLPyTorchHugging FaceTransformersscikit-learnBioconductorNextflowSnakemakeSAMtoolsDockerGitHub Actions