Computational Biology
Leveraging deep learning and scalable algorithms to unravel genomic complexity.
Gene Annotation
Building sequence-only pipelines like GeneCAD to accurately predict gene structures using DNA foundation models.
Protein Abundance
Modeling protein expression levels across diverse plant species, focusing on improving agricultural traits.
Evolutionary Genomics
Investigating genome assemblies to understand evolutionary dynamics in crops and wild relative grass species.
Researcher.
Computational Biologist.
I am a PhD candidate at Cornell University in the Buckler Lab with a passion for computational biology and genetics. My background bridges computer science, data science, and plant genetics.
My work centers on advanced statistical and machine learning models to improve crop resilience and yield.
Read My Full BioMy Ecosystem.
Academic Works
Explore the projects and models developed to advance the genomics field.
GeneCAD: Plant Genome Annotation
2026A sequence-only annotation pipeline that turns genome sequences into complete, biologically coherent plant gene models (GFF3).
Nitrogen-Efficient CERCA Ideotype
2025Designing a nitrogen-efficient cold-tolerant maize for modern agricultural systems.
Maize Genome Evolution
2024Extensive genome evolution distinguishes maize within a stable tribe of grasses.
PlantCaduceus
2024A platform designed to model plant genomes across species at single nucleotide resolution.
Let's Collaborate
Interested in connecting about computational biology, AI tools, or open positions? Reach out today.