Education

• B.S. in Computer Science with a Specialization in Bioinformatics (2023-2027)

  • University of California San Diego, 3.99 GPA
  • Minor in Biology

Skills

• Languages: C++, Python, Java, ARM Assembly, R, JavaScript, TypeScript
• Systems Tools: Linux, Bash, Docker, Kubernetes, Amazon S3
• Developer Tools: Git, React, MongoDB, Node.js, Express

Research and Technical Experience

• NSF REU Research Intern (05/2025 – Present)

  • University of Iowa, Evolutionary Sciences
  • Developed computational pipeline to analyze evolutionary history of adhesin proteins in yeast pathogens
  • Wrote Python, Bash, and R scripts to parse and visualize large proteomic datasets
  • Building machine learning model to classify adhesins based on proteomic data

• Computational Undergraduate Researcher (11/2024 – Present)

  • System Energy Efficiency Lab and Knight Lab, University of California San Diego
  • Benchmarking metagenomic host filtering tools using AWS, Kubernetes and Docker
  • Built Python scripts for compressing phylogenetic trees in a mutation-annotated format for data compactness
  • Gained experience in high-performance computing workflows and data-intensive systems

• Neuroscience Research Assistant (04/2024 – 11/2025)

  • Tuszynski Lab - Center for Neural Repair
  • Analyzed RNA-seq data to identify differentially expressed genes for spinal cord injury therapies
  • Automated microscopy image analysis using ImageJ macros to support spinal cord injury research
  • Extracted neuron data using microscopy, cryostat, microtome, immunostaining wet-lab techniques
  • Outstanding Poster Presentation Award at the 48th Annual WCBSURC on reactive cortical microglia after SCI

• AI Student Researcher (06/2022 – 08/2022)

  • UCSF AI4ALL Program
  • Applied machine learning to MRI scans to identify schizophrenia biomarkers, achieving 80% validation accuracy
  • Used Scikit-learn, NumPy, and Pandas for data preprocessing, feature extraction, and model development

Software Projects

• Webmaster (07/2025 – Present)

  • UCSD Bioinformatics Club
  • Building full-stack redesign of club site using React and Firebase for site content and data storage

• Frontend and Backend Developer (12/2023 – 03/2025)

  • Triton Software Engineering Organization
  • Programmed a fully onboarded website for nonprofit 4FLOT, with an admin portal and database integration
  • Built dynamic website pages and assets with React and MongoDB, integrated a Node.js/Express email service

• Machine Learning Kit Developer (12/2023 – 04/2024)

  • CS Foreach TritonHacks
  • Created a Python-based starter kit for ML education (NumPy, Pandas, Scikit-learn) for TritonHacks 2024
  • Provided hands-on guidance with data preprocessing, model training, and evaluation

Leadership and Teaching

• Advanced Data Structures Tutor (01/2025 – Present)
  • UCSD Computer Science Department
  • Provide weekly tutoring for 400+ students in C++, assisting with complex graph algorithms and data structures

Advanced Python Course Coordinator (11/2021 - 01/2022)

• Codeucate Organization
• Assisted in planning and teaching an Advanced Python course about data structures, visualization, and libraries

CSFirst Program Leader (04/2022 - 09/2022)

• Willow Glen Library
• Introduced K-6 class to computer science by leading weekly classes, guided block coding projects

Publications

Modulating Microglial Activation to Elicit Axonal Regeneration

Ramos Cavalcanti, R., Nguyen, K., Chang, E., Almeida, F., Blanco Martinez, A. M., & Marques de Freria, C. (2025). Modulating microglial activation to elicit axonal regeneration [Abstract DB16]. Journal of Neurotrauma, 42(13–14), e1109–e1229. https://doi.org/10.1089/neu.2025.86661.abstract