PhD Student @ Northwestern University | Computational Genomics • Machine Learning • ncORF & Immuno-oncology

I'm a PhD student in Biomedical Engineering at Northwestern University, working at the intersection of:

• Computational genomics
• Cancer immunology
• Machine learning / Deep learning
• Non-canonical ORFs (ncORFs) & translational regulation

I build large-scale genome-wide analysis pipelines, integrate multi-modal biological signals, and develop computational approaches to understand ncORF translation, antigenicity, and regulatory genomics.

A multi-modal framework combining:

• Ribo-seq periodicity & ORF discovery
• CAGE/TSS signal integration
• AlphaFold pLDDT structural confidence
• B-cell & MHC epitope prediction
• Tissue-specific signal integration (τ-index, fold-change)

Goal: build a tissue-resolved, structure-aware map of non-canonical ORFs relevant to immunogenicity and translation biology.

Languages:
Python, R, Bash, SQL

ML/DL:
PyTorch, Transformers, PEFT (LoRA / Adapters), BERT/GPT modeling

Bioinformatics:
Ribo-seq, RNA-seq, ATAC-seq, WGS, CNV/SV analysis, immunogenicity prediction

Tools:
Snakemake, SLURM, GitHub Actions, Docker, Conda, UCSC Tools, GATK, AlphaFold, IEDB

Comprehensive tissue-specific ncORF scoring pipeline integrating 15+ genomic and structural modalities.

End-to-end bulk + single-cell gene expression workflow with visualization and statistical modules.

Peak calling, QC, motif analysis, and differential analysis for chromatin accessibility data.

Automated generation of genome-indexed pLDDT and structural confidence tracks.

Thank you for visiting my profile!
If you're interested in computational genomics, ncORFs, or immuno-oncology, feel free to reach out!