Erika Fille Legara

Aboitiz Chair in Data Science

Asian Institute of Management


I am a scientist interested in the study of complex systems and artificial intelligence. Prior to joining the Asian Institute of Management (AIM) in 2017, I was a scientist at the Institute of High Performance Computing, A*STAR, where I had the privilege of working closely with government institutions and various industries on different R&D initiatives. At present, I am the director of AIM’s MSc. in Data Science program, holding an associate professor position. I am also a senior scientist at the Analytics, Computing, and Complex Systems lab at AIM.


  • Complex Systems
  • Network Science
  • Urban Science
  • Artificial Intelligence
  • Computational Physics


  • PhD in Physics, 2011

    University of the Philippines

  • MSc in Physics, 2008

    University of the Philippines

  • BSc in Physics, 2006

    University of the Philippines


ACCeSs@AIM-Cauayan City Smart City Project

I am currently the co-project lead of a smart city project funded under the DOST-PCIEERD Industry, Energy and Emerging Technology …

AI Roadmap for the Philippines

My colleague Chris Monterola and I have been tapped by the Philippines Government through the Department of Trade and Industry (DTI) …


We have an on-going project with the Manila Water, Corp. funded through the DOST-PCIEERD CRADLE grant. The title of the project is …

Mentoring (Industry Projects)

Aside from teaching at AIM, I also supervise students in R&D especially when they engage industry/government stakeholders as part …

Industry and Government Projects

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

Manila WiMLDS

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

Databeers Manila

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

Recent Publications

An analysis of network filtering methods to sovereign bond yields during COVID-19

In this work, we investigate the impact of the COVID-19 pandemic on sovereign bond yields amongst European countries. We consider the …

Phase Transition in Taxi Dynamics and Impact of Ridesharing

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

School hazard vulnerability and student learning

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

Formulation of a Resilience Index for Metropolitan Rapid Transit Networks

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

Characterisation and comparison of spatial patterns in urban systems: A case study of U.S. cities

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


Outstanding Young Scientist

Recognized for her significant contributions in the design and implementation of the first data science program in the Philippines, a much needed upgrade to Philippine education and society.

Generation T List

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.

The Outstanding Young Men (TOYM)

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

Most Outstanding Graduate Student

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).

Edgardo Gomez Excellence in Dissertation Award

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.


Breaking Barriers in Philippines

For International Women’s Day 2020, we’re getting to know the pioneering women across East Asia Pacific who are breaking barriers and …

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

National Youth Congress

Beyond the Numbers: Navigating a Data-Informed Philippine

AECOM Webinar Series

Smart Cities: Designing the Next Philippine Smart City. Technology will change, but the fundamental needs of people will not. City …

Innovation in the COVID-19 Economy

In their 10th Anniversary, the DOST-PCIEERD ran a webinar series titled Innovation in the COVID-19 Economy. In their ‘Emerging …

Mulat Pinoy - Kabataan News Network

Mulat Pinoy Kabataan News Network SciComm or MP-KNN Scicomm is an online workshop for young Filipino science communicators. On their …

AFP Integrated Missle System Program Workshop


Business Analytics

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.

Complexity Science

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.

Network Science

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.

Intro to Data Science

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.

Data Viz and Storytelling

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.