William Ceasar Laureta

I am a mathematician and AI researcher with a strong interest in applying advanced mathematics to solve complex real-world problems. My background combines graduate-level mathematics with experience in machine learning, software development, and scientific research, allowing me to work across disciplines including computer vision, optimization, topological data analysis, and deep learning.

My research experience includes developing AI-driven medical imaging pipelines for tuberculosis detection, encompassing data preparation, image processing, model development, and the application of advanced mathematical techniques such as topological data analysis and wavelet methods. I have presented research at national and international conferences, reflecting my commitment to rigorous, impactful, and collaborative scientific research. In addition to research, I have experience in software development and machine learning, with proficiency in Python, R, TensorFlow, scikit-learn, and a broad range of statistical and AI methodologies.

My academic training has equipped me with a strong foundation in computational mathematics, optimization, algebraic topology, and data analysis, enabling me to approach challenging problems from both theoretical and practical perspectives.

I am particularly drawn to roles that require deep analytical thinking and mathematical reasoning. I enjoy tackling intellectually demanding problems, learning new concepts, and contributing to the development of innovative AI systems grounded in solid mathematical principles.

Science Research Specialist I at University of the Philippines Diliman (2025-03 – Present)

• Contributed to defining project scope and setting up collaborative workflows, including managing code repository structures and development protocols via GitHub, and research documentation using LATEX.
• Assisted in curating and preparing open-access datasets from Kaggle and Mendeley Data containing chest radiographs and lung masks for use in deep learning models targeting HIV-TB detection.
• Supported the design and evaluation of deep learning pipelines, including U-Net for segmentation and bimodal Convolutional Neural Networks/XGBoost/CatBoost for classification, using preprocessing (CLAHE, GLCM, TDA feature vectorization), and interpretability tools (SHAP, grad-CAM).
• Explored wavelet-based image processing techniques (Discrete Wavelet Transform, Dual-Tree Complex Wavelet Transform) to enhance segmentation and texture analysis, contributing to the development of integrated segmentation and classification pipelines.
• Accepted for research presentation in national and international level conferences such as the Mathematical Society of the Philippines Annual Convention 2025 at Zamboanga City, Zamboanga, the Asian Mathematical Conference 2025 at Chiang Mai, Thailand, and the International Workshop on Mathematical Biology 2026 at Iloilo City, Iloilo..NET Core Developer at VirtualAI Ltd./Op2mise.ai (2024-01 – 2025-03)

Independent Contractor

• Conducted data analysis and developed market performance reports for stakeholders, utilizing predictive modeling techniques including Generalized Linear Models (GLM), Generalized Additive Models (GAM), and numerical interpolation implemented with various Python libraries.
• Designed and implemented advanced metaheuristic search algorithms from operations research frameworks aimed at improving the reach and effectiveness of marketing campaigns.
• Integrated a nonlinear decay model to regulate cumulative output behavior, ensuring stable and realistic scaling under high-frequency conditions.
• Developed a methodology to regulate distribution patterns over time, ensuring controlled and consistent allocation of advertisements across designated periods.

Algebra, Trigonometry, and Calculus Tutor at Independent Contractor (2017-01 – 2020-01)

• Prepared and delivered individualized academic lectures, focusing on each student's specific areas of improvement over a structured 4-month period.
• Designed and simplified advanced lecture content to accommodate tight deadlines, ensuring thorough comprehension within 1-2 months.
• Provided continuous academic support and guidance, contributing to students' improved understanding and consistent high performance in examinations.

Master of Science in Mathematics – University of the Philippines (2026-05)

Bachelor of Science in Mathematics – University of the Philippines (2019-12)