PhD Researcher (MEXT Scholar) at Nara Institute of Science and Technology, specializing in Large Language Models (LLMs) for medical applications. I build systems at the intersection of AI, health informatics, and data science.

About Me

I'm a doctoral researcher at the Social Computing Laboratory, NAIST, where I develop multilingual IoT-LLM for medical consultation systems and multiassessment and multiprofessional agent framework for chatbot risk assessment.

Before my PhD, I spent 3+ years at Ateneo de Manila University as a researcher and instructor, where I was a core developer of FASSSTER, a national COVID-19 surveillance platform used by the Department of Health, Philippines. I also contributed to blockchain systems and epidemiological modeling research.

I've published 9+ peer-reviewed papers (JMIR Medical Informatics, Springer, ACM) and received recognition from the Office of the President of the Philippines for public health technology contributions.

Open to: Research internships and AI/ML engineering roles.

Skills

Programming & Data

Python R Java PHP / Laravel MySQL PostgreSQL NoSQL REST APIs Data Visualization

AI / Research

Large Language Models Natural Language Processing Health Informatics Epidemiological Modeling Academic Writing

Infrastructure & Tools

Linux HPC Environments Git AWS Docker

Languages

English (Fluent) Filipino (Native) Japanese (Basic)

Education

2024 – Present

Doctoral Research Student

Nara Institute of Science and Technology, Japan

MEXT Scholarship · Social Computing Laboratory · Research: Multilingual IoT-LLM and Medical NLP

2020

Master in Information Technology

Ateneo de Manila University, Philippines

2014

BS Information Technology

Cavite State University - Main Campus, Philippines

Experience

Oct 2024 – Present

Doctoral Research Student

NAIST – Social Computing Laboratory, Japan

Developed a multilingual IoT-LLM for medical consultation systems and multiassessment and multiprofessional agent framework for chatbot risk assessment.

2020 – 2024

Full-time Instructor, Researcher and Developer

Ateneo de Manila University – DISCS

Taught undergraduate computing courses while serving in R&D roles across the Ateneo Center for Computing Competency and Research (ACCCRe) and Ateneo Blockchain Laboratory (ABC).

ACCCRe: Built backend data pipelines and REST APIs using Python and R for a national COVID-19 syndromic surveillance platform used by the Philippine Department of Health and local government units.

ABC: Developed a modular Hyperledger Fabric-based system for issuance, sharing, and verification of digital credentials.

2014 - 2021

Part-time Instructor

Cavite State University - Main, DIT, Philippines

Awards & Recognition

Outstanding Scholarly Work

Special Citation for Outstanding Scholarly Work in Public Health & Wellness — Ateneo de Manila University (2023)

Presidential Recognition

Certificate of Recognition from the Office of the President of the Philippines for FASSSTER platform contributions (2022)

Certifications

Epidemiological Modelling – WHO (2024) AWS Certified Cloud Practitioner (2023) Blockchain Solution Architecture – BTA (2022)