# David  Pascual

> CS & Math Student @ Syracuse | Emerging Research Fellow

Location: Port Chester, New York, United States
Profile: https://flows.cv/davidpascual

I’m a CS & Math student at Syracuse University with experience in machine learning, quantitative research, and full-stack development. As an Emerging Research Fellow, I study high-dimensional statistics—developing robust covariance estimators, implementing PCA variants, and building Python simulation frameworks grounded in random matrix theory and factor models.

Previously, I worked in financial data science, where I built large-scale SEC scraping pipelines, regression models, and statistical diagnostics to analyze executive compensation. I’ve also interned as a software developer, creating a TF-IDF + SVD recommendation engine and building full-stack applications using Flask, MySQL, and REST APIs.

Currently, I develop infrastructure and data visualizations for 25,000+ users as a full-stack developer at The Daily Orange, focusing on React, analytics, and A/B testing.
I’m especially interested in roles involving ML/AI, quant research, data science, or software engineering—anywhere rigorous math meets practical systems.

## Work Experience
### Research Software Developer @ Syracuse University
Jan 2026 – Present | Syracuse, New York, United States
Developing optimized open-source software for gravitational wave detection algorithms to leverage Apple Silicon architecture as a cost-effective alternative to traditional GPU computing.

- Optimizing Fast Fourier Transform implementations to exploit Apple M-series unified memory architecture for gravitational wave signal processing
- Benchmarking Apple Silicon GPU performance against NVIDIA GPUs for compute-intensive astrophysical algorithms
- Developing scripts and infrastructure to run PyCBC gravitational wave detection algorithms more efficiently on Apple hardware
- Building cost-performance analysis comparing Apple Silicon vs traditional HPC solutions for scientific computing
- Contributing optimized implementations to open-source PyCBC framework for LIGO data analysis

### Undergraduate Researcher in Multivariate Statistics @ Syracuse University College of Arts and Sciences
Jan 2025 – Present
Investigating spectral properties of high-dimensional covariance matrices using random matrix theory (Marchenko-Pastur
distributions, Tracy-Widom statistics) to develop robust eigenvalue estimators for portfolio risk models with finite-sample
corrections
• Implementing Principal Component Analysis, Kernel PCA, and Sparse PCA for dimensionality reduction in correlated
financial systems; applying eigenvalue shrinkage methods (Ledoit-Wolf, Oracle Approximating Shrinkage) to improve
covariance estimation
• Developing stochastic simulation frameworks in Python to model signal extraction from noisy covariance structures;
extending to factor models, anomaly detection in time series, and high-dimensional hypothesis testing

### Claude Campus Ambassador @ Anthropic
Jan 2025 – Jan 2026

### IT Manager @ The Daily Orange
Jan 2025 – Jan 2026 | Syracuse, New York, United States
Front and Backend Web Development

### Tech Developer Intern @ SEO (Sponsors for Educational Opportunity)
Jan 2025 – Jan 2025
Engineered full-stack social media web application in 8-week agile sprint using Flask backend with MySQL database,
implementing RESTful API endpoints for user authentication, post creation, and real-time event feeds
• Architected content-based recommendation engine using TF-IDF vectorization and cosine similarity for personalized event
discovery, integrating collaborative filtering to achieve 35% increase in user engagement

### Financial Data Science Research Assistant @ Syracuse University - Martin J. Whitman School of Management
Jan 2024 – Jan 2025 | Syracuse, New York, United States
Developed Python web scraping pipeline using BeautifulSoup and Requests to extract executive compensation data from
10,000+ SEC DEF 14A filings; implemented regex parsing and validation achieving 97% extraction accuracy
• Constructed multivariate regression models with statsmodels analyzing pay-performance relationships, identifying ROE and
TSR as significant predictors R2 = 0.62, p < 0.001; performed residual diagnostics and heteroscedasticity tests

### Data Science Research Assistant @ Syracuse University College of Engineering and Computer Science
Jan 2024 – Jan 2025 | Syracuse, New York, United States
- Conducting research under Professor Reza Zafarani on memory mechanisms in large language models (LLMs), their parallels to human cognition, and fake news detection.
- Utilizing high-performance computing (HPC) clusters to process LLM queries, analyze memory retention, and detect misinformation patterns.
- Designing experiments on LLM memory and misinformation classification to improve AI-driven fact-checking.
- Developing frameworks to compare LLM memory structures with human cognition and assess biases in news classification models.

### Assistant @ Riverdale Electrical Services, Inc.
Jan 2024 – Jan 2024 | New York, New York, United States
Managed warehouse inventory, ensuring accurate stock levels and timely replenishment of supplies. Coordinated the procurement of necessary materials, liaising with vendors to place orders and track deliveries.
Assisted in the assembly and production of custom lighting units to meet client specifications.
Handled couriering of important documents and materials, ensuring prompt and secure delivery to clients and
stakeholders.

### Assistant Counselor @ STEM Alliance
Jan 2023 – Jan 2023 | Mamaroneck, New York, United States

### Assistant Property Manager @ RES Real Property Inc.
Jan 2022 – Jan 2022 | New York, New York, United States
I was responsible for assisting in the administrative and supporting tasks of a real estate portfolio spanning 700K square feet of commercial real estate throughout New York and across the Republic of Ireland.
My daily tasks included making copies of documents, filing documents, answering the phones,
sorting the mail, couriering, and assisting in drafting excel templates to summarize data.


## Education
### Bachelor of Science - BS in Mathematics and Computer Science | Physics Minor
Syracuse University

### Port Chester High School

### SEO (Sponsors for Educational Opportunity)


## Contact & Social
- LinkedIn: https://linkedin.com/in/david-o-pascual

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Source: https://flows.cv/davidpascual
JSON Resume: https://flows.cv/davidpascual/resume.json
Last updated: 2026-04-13