Aside from teaching at the Asian Institute of Management, I also supervise students in R&D especially when they engage industry/government stakeholders as part of their academic program’s requirements.

In the past few years, I have been involved in various industry and government projects. Some of them are listed here.

To support and promote women and gender minoritie in ML and DS

Event that brings together experts to share short data stories with the public over free beers.

Recent Publications

We develop a numerical model using both artificial and empirical inputs to analyze taxi dynamics in an urban setting. More …

The Philippines is among the most exposed countries to natural hazards. Little is known about impacts of different natural hazards on …

Rapid transit systems form a crucial transport mode in modern cities today due to their ability to sustain high passenger volume …

Understanding the morphology of an urban system is an important step towards unveiling the dynamical processes of its growth and …

A sufficient knowledge of the demographics of a commuting public is essential in formulating and implementing more targeted …


Jun 2019

Generation T List

Asia Tatler

Awarded for equipping Filipinos for a data driven future. The Generation T Asia list is the definitive list of young leaders shaping Asia’s future.
Dec 2018

The Outstanding Young Men (TOYM)

Junior Chamber International

The JCI The Outstanding Young Men award is the most prestigious leadership award for Filipinos under 40.
Apr 2011

Most Outstanding Graduate Student

College of Science, University of the Philippines, Diliman

The award is given to the most outstanding Ph.D. graduate in the whole College of Science. The UP Diliman College of Science is composed of eleven (11) constituents: National Institute of Geological Sciences (NIGS), National Institute of Molecular Biology & Biotechnology (NIMBB), The Marine Science Institute (MSI), National Institute of Physics (NIP), Natural Sciences Research Institute (NSRI), Institute of Biology (IB), Institute of Chemistry (IC), Institute of Environmental Science & Meteorology (IESM), Institute of Mathematics (IM), Materials Science & Engineering Program (MSEP), and Science & Society Program (SSP).
Apr 2011

Edgardo Gomez Excellence in Dissertation Award

College of Science, University of the Philippines, Diliman

The Edgardo Gomez Excellence Award is given to the most outstanding Ph.D. graduate in the UP College of Science in terms of the number of international publications, among other things.


Entrepreneur PH

Data Scientists Needed in Every Industry, Experts Say

Philippine News Agency

Introducing data science as ‘future’ of policy making in PH

Cosmo Philippines

This Pinay Is Leading Data Science Education In The Philippines

Rappler Philippines

AIM’s big data bid to regain business school leadership

Entrepreneur PH

Filipina Physicist Back from SG to Head AIM’s Data Science Program


Machine-learning program predicts public transport use in Singapore

Recent & Upcoming Talks

The main theme is ‘Promoting Integrity, Advancing Excellence’ to update delegates and keep them abreast with current …

In this event, I have been invited to talk about the ‘global tech outlook on AI, data science, software development, and how the …

On the 6th and 7th of April 2019, the UP DOST SA will be catering 700 DOST Scholars across the country for the National DOST …

To promote women empowerment


This course introduces participants to the latest trends in analytics in the era of big data, artificial intelligence, and the Internet of Things. The course explores various data-driven approaches, frameworks, and models used by different industries across functions to improve processes and/or create new and innovative products. In particular, participants will familiarize themselves with the different levels of analytics—descriptive, predictive, and prescriptive, and will be tasked to identify use cases where the approaches can be applied.

Complex Systems are systems composed of heterogeneous agents that are highly interacting and whose interactions result to emergent behavior, e.g. societies, economies, markets, cities, and biological systems like the immune system and the brain, to list a few. In this class, the students will be exposed to various tools used in characterizing and modeling complex systems. The topics include dynamical systems, chaos, fractals, self-organization, cellular-automata modeling, agent-based modeling, and complex networks.

The module covers the basics of Complexity Science with particular focus on Complex Networks (network science), which are the backbones of complex systems (e.g. cities, organizations, economies, and financial markets). Complex networks quantify the interactions of various entities/players in complex systems. Examples of complex networks include social networks like those generated from Twitter, Facebook, and Instagram, financial networks, biological networks, and organizational networks. Students learn how to visualize, analyze, and model complex networks using Python, NetworkX, and Gephi. At the end of the course, students should be able to view and analyze problems in business and marketing, among others, through the lens of complexity science. They should also be able to argue, in descriptive and quantitative manner, why a system-of-systems thinking is necessary to address most real-world issues.

In this course, students learn data science fundamentals that are more in tune with their applications to business; essentially, how the field is applied in the real-world. Students are provided with a comprehensive overview of data science and artificial intelligence—what they are and what they’re not. Students are also exposed to the current state of data science and its future direction(s). The class has data science practitioners share their experiences—from how companies come up with a data strategy toward becoming a truly data-driven organization, to building data science teams, to learning about the challenges companies faced and are currently facing. Participants learn about data workflows and pipelines; they will learn and appreciate how to assemble and lead data science enterprises. Finally, the course also covers the fundamentals of data privacy and data/AI ethics.

In this course, students will learn to appreciate the importance of successful data visualizations and intelligible stories in communicating insights. Using real-world datasets, learners will gain the necessary skills to fashion effective vizzes that exhibit not only good design elements but also layers of information that when weaved together as a narrative can drive stakeholders to take action. Storytelling will be emphasized across the sessions. On a more technical aspect, students, in this course, will also get to widen their visualization vocabulary. In addition, they will be introduced to the different viz tools available including Tableau, QGIS, and Gephi (a network visualization tool). They will also, of course, learn how to create visualizations in Python with pandas, networkx, geopandas, matplotlib, and plotly, among others.