Ugochi Ndubuisi
DHSc, MPH, MB(ASCP), MLS(AMT)
Graduate Student, Johns Hopkins Biotechnology (MS, expected 2026) | Clinical Laboratory Scientist | Applied Health Informatics
Working clinical laboratory scientist and MS candidate in Biotechnology (Bioinformatics specialization) at Johns Hopkins University. My research and coursework sit at the intersection of clinical lab operations and applied health informatics: HL7 v2 and FHIR interoperability, LOINC-coded orderable catalogs, NGS variant calling pipelines, and CAP/CLIA-conformant quality systems. This portfolio collects coursework projects, applied lab-informatics work, and research artifacts from my current program at JHU and prior doctoral work at George Washington University (DHSc, 2024).
import pandas as pd
from Bio import SeqIO
import matplotlib.pyplot as plt
def analyze_clinical_variants(vcf_file, vep_data):
"""Analyze clinical significance of genetic variants"""
variants = pd.read_csv(vcf_file, sep='\t')
# Filter for pathogenic variants
pathogenic = variants[variants['CLNSIG'] == 'Pathogenic']
# Generate clinical report
report = generate_clinical_report(pathogenic, vep_data)
return report