2026 Honors Theses
- Aman Bhutani, A Multi-Relational Graph Attention Network for Tissue Classification of Breast Cancer Spatial Transcriptomics Data
- Megan Carlson, Analysis of sex-specific nuclear organization in Drosophila using RD-SPRITE
- Jason Chang, Characterization of LINE-1 Antisense Promoter-Driven Chimeric Transcripts by Oxford Nanopore Direct RNA Sequencing
- Dixi Han, Investigating the Role of RNA Secondary Structure in Co-transcriptional Splicing Order
- Sanjana Hiremath, Spatial Transcriptomic Characterization of the ST6GAL1-Related Glycosylation and Immune Signaling Pathways in High-Grade Serous Ovarian Carcinoma
- Meredith Jenkins, Characterizing developmental neurotoxicity in a Drosophila melanogaster model of Huntington’s disease
- Andy Le, Integrating Spatial Transcriptomics with Network-Based Analysis for Personalized Biomarker Discovery in Prostate Cancer
- Avery Maytin, Multi-modal Deep Learning Model to Predict Stomach Cancer Recurrence using Clinical, Genomic and Whole Slide Image Data
- David Naranjo, High Throughput Analysis of Cancer Lines to Reveal Dependencies on Splicing
- Andrew Ni, Velocity-Guided Representation Learning for Single-Cell Trajectory Inference
- Luke Nguyen, Multimodal Analysis of Epstein-Barr Virus Exposure on T-cell Behavior in Nasopharyngeal Carcinoma
- Minh Le Tran, Application and validation of self-supervised learning algorithm CEBRA on multimodal data on olfactory-spatial mapping in the Lateral Entorhinal Cortex
- Skylar Walters, Interpretable Deep Learning for Viral Pathogen Identification and Motif Discovery
- Ashley Xu, Investigating Sex-Specific Aging and X Chromosome Regulation in D. melanogaster using Single-Cell Transcriptomics