Experience & Education
Professional Experience
Research Assistant - Networking Research
Colgate University, Computer Science Department
August 2024 - Present
- Conducting algorithmic research on network synthesis and prediction.
- Developing a tool to synthesize and predict Fully Qualified Domain Names (FQDNs) from a given training set.
- Utilizing machine learning techniques and network analysis algorithms to improve FQDN prediction accuracy and efficiency.
Computational Biologist - miRNA Biomarkers (First Author)
Colgate University
May 2024 - Present
- Conducted computational biology research to explore miRNA biomarkers in prostate cancer progression.
- Applied machine learning models (XGBoost, SVM, Transformers) to identify novel biomarkers with potential clinical applications.
- Currently preparing research findings for publication as the first author.
Computational Biologist - Seal eDNA Work (Contributor)
Colgate University
May 2024 - August 2024
- Developed and implemented a computational pipeline for processing and analyzing next-gen high-throughput sequencing data.
- Leveraged DADA2 for denoising and merging paired-end reads, ensuring high accuracy in sequence variant identification.
- Conducted rigorous filtering, error correction, and chimera removal, resulting in high-quality sequence datasets for ecological analysis.
Software Engineer
Tewke, London, UK
October 2023 - December 2023
- Designed and developed a comprehensive web dashboard for Tewke's internal operations.
- Utilized React, Next.js 13, TypeScript, and SQL for robust development.
- Collaborated with senior engineers to optimize dashboard performance and enhance the user experience.
Education
Colgate University
Bachelor of Arts in Computer Science, Economics Minor
Class of 2025
- GPA: 3.74 / 4.00
- Relevant Coursework: Data Structures & Algorithms, Machine Learning, Database Systems, Web Development
- Honors: Dean's Award for Academic Excellence (2023, 2024)