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Eric Gomez

@ericgomez

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I'm a bioinformatician advancing multi-omics research through RNA-seq, methylome, and genomic analysis.

United States

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What I'm looking for

I'm looking to contribute to multi-omics and disease-focused research, applying genomic, RNA, and methylation analysis alongside machine learning to better understand biological disorders.

I'm a Postbaccalaureate Research Fellow at the National Institutes of Health (NIDDK), where I process RNA-seq data from disease-mimicking chondrocyte pellet models, investigate hereditary disease variants, and analyze methylation data from a rare cancer study.

I've also built biosensor datasets for chemical detection models at the University of Maryland, College Park, fine-tuned a Qwen vision-language model, and trained neural networks on sequenced lung cancer data at UMBC.

Experience

Work history, roles, and key accomplishments

Current

Postbaccalaureate Research Fellow (IRTA)

Current

National Institutes of Health (NIDDK)

Nov 2025 - Present (10 months)

Processed RNA-Seq data from disease-mimicking chondrocyte pellet models and performed differential gene expression analysis. Conducted downstream genetic and methylation analyses to investigate disease susceptibility and epigenetic alterations.

RNAseq Differential Gene Expression Genetic Analysis DNA Methylation Next Generation Sequencing R BASH Python

Biosensor & Vision-Language Model Development Intern

University of Maryland, College Park

May 2025 - Aug 2025 (3 months)

Constructed datasets from electrochemical biosensor data for chemical detection tasks and fine-tuned a Qwen-2.5-VL-3B-Instruct vision-language model. Performed error analysis on an LLM agent for automating an electrochemical data pipeline workflow.

Vision Language Models Fine Tuning Qwen Ms Swift Error Analysis LLM Python

Research Assistant

UMBC Department of Biology

Feb 2024 - Feb 2025 (1 year)

Implemented a neural network for lung cancer staging and prognosis, originally developed for prostate cancer. Trained the network using PyTorch on sequenced lung cancer data and modified the network structure to utilize an alternative biological database.

PyTorch Neural Networks Cancer Genomics Data Curation Model Fine Tuning