Resume

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Isabella V. Garcia

i4garcia@ucsd.edu · San Diego, California · isatope.dev

Education

University of California, San Diego 07/2022 – 06/2026
B.S., Bioengineering: Bioinformatics; Minor: General Biology GPA: 3.71

Skills

Languages
Python, R, bash, Java, C++
Bioinformatics
NGS sequence analysis, sequence alignment, genome assembly & annotation, biological database design & querying, public repositories (NCBI, Ensembl)
Data & ML
Machine learning (classification, feature selection), statistical & comparative analysis, data visualization; pandas, NumPy, scikit-learn
Systems
Unix/Linux, HPC & remote development, pipeline development, Git/GitHub

Technical Experience

J. Craig Venter Institute (JCVI) 07/2025 – 06/2026
Senior Design Researcher, UC San Diego Bioengineering La Jolla, CA
  • Built machine learning software in Python on a two-person team under Dr. Max Qian to classify leukemia and predict patient outcomes from flow cytometry data
  • Applied feature selection and classification modeling across 16 parameters and 288 patient samples, evaluating model performance against clinical outcome labels
  • Synthesized an extensive literature review and reported findings to the group weekly in formal written reports
  • Authored the project's analysis of ethics, safety, design considerations, and engineering standards
Genentech — Outstanding Student Awardee Intern 06/2025 – 09/2025
  • Selected as an Outstanding Student Awardee for a 3-month internship in the Media & Process Group, Cell Culture and Bioprocess Operations
  • Led design and implementation of a Python tool performing novel metabolic analyses, mining 2 years of historical process data alongside literature-derived methods to improve bioprocess operations
  • Presented results to the group and at the Intern Project Showcase poster session
Cabrales Lab @ UC San Diego — Undergraduate Research Assistant 10/2023 – 06/2025
  • Research assistant in the Functional Cardiovascular Engineering Research Group under PI Pedro Cabrales
  • Led software development on hyperspectral characterization of hemoglobin-based oxygen carriers (HBOCs) using a microfluidic chip
  • Led rapid low-cost %HbS quantification assay project
  • Presented research poster at Spring 2024 Undergraduate Research Symposium

Relevant Coursework

  • BENG 181 — Molecular Sequence Analysis: sequence alignment, dynamic programming, HMMs, phylogenetics
  • BENG 182 — Biological Databases: schema design, curating and integrating public genomic data
  • BENG 183 — Applied Genomic Technologies: sequencing platforms, read mapping, RNA-seq, functional genomics
  • CSE 151A — Machine Learning: supervised/unsupervised learning, model selection, regularization, evaluation
  • CSE 185 — Advanced Bioinformatics Lab: genome assembly, variant calling, analysis pipelines on Unix/HPC