• Winner, 3-Minute Thesis (3MT) Pitch
  Scholarship in Action: Thesis Writing and Research to Policy Bootcamp

Dissertation: Development of a Location-based Statistical Measure of Disaster Preparedness in the Philippines
March 24–28, 2025 | Institute of Mathematical Sciences, UPLB
(Organized by UPLB Graduate School and funded by DOST-SEI)

Awarded First Place in the 3MT Pitch competition for effectively communicating the significance and policy relevance of my PhD dissertation on disaster preparedness using statistical methods. The pitch distilled complex research into a compelling, accessible three-minute presentation, showcasing the societal impact of evidence-based disaster risk reduction strategies. This recognition reflects both communication excellence and the relevance of my research to national development goals.

• Scholars’ Choice Award, 3-Minute Thesis (3MT) Pitch
  Scholarship in Action: Thesis Writing and Research to Policy Bootcamp

Dissertation: Development of a Location-based Statistical Measure of Disaster Preparedness in the Philippines
March 24–28, 2025 | Institute of Mathematical Sciences, UPLB

(Organized by UPLB Graduate School and funded by DOST-SEI)

Voted by fellow participants as the most compelling and impactful presentation during the 3MT Pitch competition. This award highlights the clarity, relevance, and resonance of my PhD research on developing a location-based statistical index for disaster preparedness in the Philippines. The Scholars’ Choice recognition reflects peer appreciation for effectively translating complex statistical work into actionable insights for policy and community resilience.

• Best Paper Presenter, Public Administration and Governance Session
  2nd Nemesio Prudente International Research Conference
  July 19, 2024 | Polytechnic University of the Philippines (via Zoom)
  Paper Title: Effect of Air Pollution [PM2.5] on Child Respiratory Illness and Child Mortality in the Philippines: Insights for Public Health Management

Recognized for excellence in research presentation and relevance to governance and public administration. The paper employed statistical modeling to examine the impact of fine particulate matter (PM2.5) on child health outcomes, offering evidence-based insights for public health planning and environmental policy development in the Philippines.

• Best Paper Presenter, Information Technology and Computer Systems Session
  2nd Nemesio Prudente International Research Conference
  July 19, 2024 | Polytechnic University of the Philippines (via Zoom)
  Paper Title: Statistical Models for Outbreak Detection and Surveillance Management of Measles in North Cotabato

Awarded for demonstrating methodological rigor and practical relevance in using statistical techniques for infectious disease surveillance. The study developed and evaluated predictive models for early detection of measles outbreaks in North Cotabato, contributing to data-driven public health response and disease control strategies.

• Best Research Paper
  13th PARSSU Mindanao Conference-Workshop and 2nd International Conference on Advanced Multidisciplinary Statistical Applications
  May 3–4, 2024 | Philippine Science High School Caraga – Regional Campus, Butuan City
  Paper Title: Statistical Models for Outbreak Detection of Measles in North Cotabato

Awarded for demonstrating methodological rigor and practical relevance in using statistical techniques for infectious disease surveillance. The study developed and evaluated predictive models for early detection of measles outbreaks in North Cotabato, contributing to data-driven public health response and disease control strategies.

• Best Research Paper (Second Place)
  35th University In-House Review – Education, Sciences, and Governance Cluster
  University of Southeastern Philippines
  
  

• Best Research Paper (Second Place)
  34th University In-House Review – Education, Sciences, and Governance Cluster
  University of Southeastern Philippines
  
  

• Best Research Paper
  National Research Congress and 1st Meeting of the Philippine Coleopterological Networks (PhilColNet)
  April 2019 | University of Mindanao
  
  

• Best Research Presenter
  National Research Congress and 1st Meeting of the Philippine Coleopterological Networks (PhilColNet)
  April 2019 | University of Mindanao

• DOST-ASTHRDP-NSC Graduate Scholarship
  PhD in Statistics, University of the Philippines Los Baños
  (2022–2025)
  This scholarship was awarded by the Department of Science and Technology – Science Education Institute (DOST-SEI) through the Accelerated Science and Technology Human Resource Development Program (ASTHRDP) under the National Science Consortium (NSC). It supports my doctoral studies in Statistics at the University of the Philippines Los Baños. Through this scholarship, I contribute to the advancement of statistical tools for evidence-based policy and disaster risk governance in the country.

• ICTP Grant, International Centre for Theoretical Physics, Trieste, Italy
  Winter School on Quantitative Systems Biology: Quantitative Approaches in Ecosystem Ecology (smr 3486)
  2022
  Awarded a competitive grant by the Abdus Salam International Centre for Theoretical Physics (ICTP) to participate in this intensive winter school, which brought together early-career researchers from around the world to explore quantitative modeling approaches in ecosystem ecology. The program focused on the integration of statistical, mathematical, and computational tools to understand ecological dynamics and biodiversity. Participation in this program strengthened my interdisciplinary grounding in applying quantitative methods—particularly relevant to my doctoral research in disaster preparedness, where understanding ecological systems and environmental risks is essential to building robust statistical models for resilience assessment.

• ICTP Grant, International Centre for Theoretical Physics, Trieste, Italy
  Workshop on Limits to Diversity Assembly
  2022
  Received a grant from the Abdus Salam International Centre for Theoretical Physics (ICTP) to participate in the Workshop on Limits to Diversity Assembly, which explored the mathematical, statistical, and ecological underpinnings of species diversity, community assembly, and ecosystem stability. The workshop featured lectures and collaborative sessions led by leading researchers in ecology, evolution, and complex systems. This experience deepened my understanding of systems-level interactions in natural environments, complementing my doctoral work in Statistics on disaster preparedness by enriching the ecological perspective necessary for modeling risk, resilience, and adaptive capacity in vulnerable communities.

• DOST-PCIEERD Scholarship
  Data Science Program in partnership with Johns Hopkins University, USA
  (2018–2019)
  Selected as a scholar under the Department of Science and Technology – Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) initiative to build national capacity in data science. The program included rigorous online coursework offered by Johns Hopkins University through Coursera’s Data Science Specialization, covering topics such as R programming, statistical inference, regression models, machine learning, and reproducible research.This training laid the foundation for my transition into advanced research using data-driven approaches and supported my continuing work in statistical modeling, research consulting, and disaster preparedness analytics.

• University of Manchester. "Understanding the Impact of Living with Psoriasis in the Philippines” (January 2024 to Present)

• European Social Fund. ESF Project No. 8.2.2.0/20/I/003 "Strengthening of Professional Competence of Daugavpils University Academic Personnel of Strategic Specialization Branches 3rd Call" (2020 - 2022).

• Novartis Healthcare Philippines. "Demography, baseline disease characteristics and treatment history of patients with psoriasis” (2021 - 2022).

• DOST-PCAARRD. “Establishing the Socio-Economics Research and Data Analytics Center (SERDAC) Mindanao”. (2018 - 2019).

• USeP Research and Development Office. “Survivability and Mortality of Confirmed COVID-19 patients based on Observed Demographic, Epidemiological and Clinical Characteristics”. (2018 - 2019).