Education
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
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