💼 Lastly -- hello again, job market, I’m finally back! Feel free to send me any academic, industry, and/or consulting roles for 2026 (open to work anywhere) at [email protected]!

🇵🇭 20th APRU Multi-hazards Symposium & Conference, Philippines
Today, I presented our city-scale work, which is a fruitful collaboration with city disaster risk managers, EMI (a nonprofit scientific organization) in Quezon City, and our university.

🇨🇾 8th Int’l Disaster & Risk Conference 2025, Best Overall Conference Paper, Cyprus
We present a weakly supervised first-order transition matrix that reflects the changes in the spatiotemporal distribution of physical vulnerability in two disaster-stricken and socioeconomically disadvantaged areas.

to support the 2015-2030 UNDRR Sendai Framework! I’ll also be at the job fair, looking for a job (so let’s chat)!

Long hours of careful thinking, previous experience on regional risk modelling, and a deep understanding of the intersection of disaster risk science and AI & EO have guided us to develop a framework that can help us assess regional disaster resilience ...

🇸🇬 AAAI AI for Social Impact 2026, Singapore
As a first-timer to attend the main tech track part of an AI conference, I’m excited that our PhD research has been selected as an "Oral Presentation" for AI for Social Impact (AISI) at the 40th AAAI in Singapore, Jan 22-25, 2026.

🇩🇪 Digital GreenTalents, Germany
Honored to be one of the 20 selected young scientists all over the world to receive the “Digital GreenTalents - High Potentials in Sustainable Development Award 2025” by the German Federal Ministry of Research, Technology, and Space (BMFTR)

📜 DeepC4: Deep Conditional Census-Constrained Clustering for Large-scale Multitask Disaggregation of Urban Morphology
🌐 lnkd.in/gC7Nby2n (arXiv preprint)

📜 A Data-Driven Probabilistic Approach to Regional Dynamics of Building Exposure and Physical Vulnerability Towards Global Disaster Risk Quantification Audit
🏢 AGU25, Progress, Ethics, and Accuracy in Bldg Stock Attribution (NH23D)
📍 New Orleans, LA, US
🗓 Dec 15-19, 2025

📜 Modernizing Quezon City's Building Risk Data with AI and Earth Observation
🏢 20th Assoc. of Pacific Rim Universities Multi-hazards Conference and Symposium (APRU-MH20)
📍 UP BGC, Philippines
🗓 Nov 26-29, 2025

📜 GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction
🏢 8th Int'l Disaster and Risk Conference (IDRC)
📍 Nicosia, Cyprus
🗓 Oct 22-24, 2025

using cluster-level constraints, multitask optimization, and multilabel conditionality, under a weak supervision setup.

#HelmholtzAI #AI4ER #DeepClustering #EO #UrbanMorphology #DisasterRisk #SpatialAudit #SpatialDisaggregation #Constraints

Our proposed novel DeepC4, a deep constrained clustering model, advances the existing classical spatial disaggregation techniques using deep learning and EO data to understand the distribution of various urban morphology characteristics at large scales, ...

✅ 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: apply.knight-hennessy.stanford.edu/register/?id...

some of our newest and exciting updates in how we align the use of AI with the practice of catastrophe modeling and disaster risk science!

#AI #DRR #EnvironmentalRisk #Cambridge #AI4ER #CDT #regional #disaster #risk #catastrophe #EO #ML #CAT #graphML #Bayesian

and physical vulnerability, regionally, given the vast amount of Earth Observation (EO) data and advanced machine learning (ML) techniques like spatiotemporal graph deep learning and Bayesian ML? That's what I will share high-level in our AI4ER CDT Showcase, including ...

When I began my journey in disaster risk science, it was fascinating to understand the mathematics behind probabilistic (seismic, tsunami, flood, blast, wildfire, etc.) hazard analysis. What if, in our risk equation, there's also probabilistic distribution of building exposure ...

Filipinos, Pinoy, or Philippines 🇵🇭 at #AGU24? We'll have a group dinner (hapunan) tomorrow. 📩 DM me for more details.