John Lennon Calorio

John Lennon Calorio

he/him

Health Data Scientist and Bioinformatician

Posts by Collection

portfolio

Metabolomics Data Analysis Toolkit

Published:

The Metabolomics Data Analysis Toolkit is an R-based analytical framework developed to streamline and standardize the statistical workflow for metabolomics research.

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Risk modeling with Bowtie method for decision-making towards public health and safety

Published in Safety Science, 2025

This study introduces a novel Bowtie-based risk modeling framework tailored for public health decision-making, integrating expert-weighted metrics and a Health Risk Spectrum to guide proactive interventions, as demonstrated in a COVID-19 case study in Mindanao.

Recommended citation: Montero, V.J.; Logrosa, G.; Calorio, J.L.; Lato, J.I.; Hassall, M.; Mata, M.A. Risk modeling with Bowtie method for decision-making towards public health and safety. Saf. Sci. 2025, 185, 106777.
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rpackages

pondeR: Making statistical analyses a little bit easier for everyone

Published:

This repository contains a set of R scripts designed to simplify the user’s statistical data analysis. The highlight is a function called auto_compare which intelligently performs comparative analysis such as t-test and ANOVA (and its nonparametric counterparts) depending on the results of assumption tests. Read more here.

MetaboScrapeR: HMDB MS Spectra Query App

Published:

A Shiny Web app stored in GitHub. This repository contains a set of R scripts designed to perform web scraping on the Human Metabolome Database (HMDB) to assist in the metabolomics data annotation/identification process. Access the Shiny Web App here.

PHIVOLCS Earthquake Data Visualization Shiny App

Published:

This Shiny App dashboard provides a comprehensive visualization and analysis of earthquake data sourced directly from the Philippine Institute of Volcanology and Seismology (PHIVOLCS) from 2017 to the present. Access the Shiny Web App here.

talks

Investigating Metabolomics Research Trends, Themes and Analytical Platforms in the Philippines using Bibliometric Data

Published:

This poster was presented at the 50th Philippine Society for Biochemistry and Molecular Biology (PSBMB) Annual Conference. We reviewed metabolomics studies from published works in the Philippines and abroad, and employed exploratory analysis to determine research trends, themes and analytical platforms. We included studies from 2003 to late 2023. See more here.

Statistics 202: A Webinar on Basic and Advanced Statistical Tests Commonly Used in Medical Research

Published:

The goal of this webinar was mainly to educate the students of the Davao Medical School Foundation, Inc. of the various statistical tests, methods, terminologies, and other statistics-related topics applicable to the medical field. I’ve talked on research designs, internal consistency, sample size calculation, inferential statistics, assumption testing, and common statistical software including those that requires coding (R and Python) and no-coding, and a demonstration of how statistical analysis is done in jamovi. Definitions of terms, data types, types of hypotheses, p-value, confidence interval, descriptive statistics, and parametric and nonparametric tests we also discussed. See the recording in YouTube.

What should an autonomous vehicle (AV) do when an ambulance behind it suddenly switches to emergency mode, activating its sirens, while both are stopped at a red light?

Published:

In December of 2024, I participated and won 2nd place in the “T.L. Saaty Global Hackathon 2024,” where I presented my problem “What should an autonomous vehicle (AV) do when an ambulance behind it suddenly switches to emergency mode, activating its sirens, while both are stopped at a red light?” In this online event, I have applied my learnings (in my previous role) regarding Analytic Hierarchy Process (AHP), but now using Python. This event was hosted by the Creative Decisions Foundation. See more here.

Preliminary Metabolomics Analysis of Urine Serum Samples from Pediatric Dengue Patients Age One Month to 14 Years Old Living at Southern Philippines

Published:

Our poster was a presentation of the preliminary results of the data coming from the “Mother and Child Determinants of Pediatric Dengue and Development of a Risk Assessment Scoring System for Severe Disease among Filipino Children” Project of the Research and Development Center for Maternal and Child Health (ReDMatCH) Program under the Center for Research and Development, Davao Medical School Foundation Inc. The results primarily highlight both the statistically and biologically significant metabolites that explain dengue severity among children one month to 14 years old. We used urine serum samples and analyzed to Waters Xevo G3 Quadrupole Time-of-Flight (QTOF) Mass Spectrometer, then Waters Acquity Ultra Performance Liquid Chromatography (UPLC) I-Class System, then to Progenesis QI software. The resulting data was then subjected to several advanced statistical methods such as Principal Component Analysis, Partial Least Squares-Discriminant Analysis, Fold Change Analysis, ANOVA, and Elastic Net Regression. This is to understand how changes in metabolites influence the severity of dengue, and pinpoint which of these metabolites play a major role in the disease. See more here.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.