cv

A PDF version of my CV is also downloadable here.

Basics

Name Damian Dailisan
Label Postdoctoral Researcher at ETH Zurich
Email damian.dailisan@gmail.com
Summary Postdoctoral researcher with a strong background in reinforcement learning, data-science, large-scale modeling, and computational social science. I have experience leading projects on decentralized traffic control and smart cities. My experience spans academia, industry, and government collaborations. Passionate about data science, machine learning, and technology.

Work

  • 2022.10 - Present

    Zurich, Switzerland

    Postdoctoral Researcher and Lecturer
    ETH Zurich, Computational Social Science
    Lead Postdoctoral researcher on the ERC-funded DIT4TraM project, researching reinforcement learning algorithms for traffic signal control and co-lecturing on complex social systems.
    • Lead Postdoctoral researcher on the ERC-funded DIT4TraM project.
    • Research on reinforcement learning algorithms applied to traffic signal control.
    • Co-lecturer on 'Complex Social Systems: Modeling Agents, Learning, and Games' course.
  • 2021.08 - 2022.09

    Metro Manila, Philippines

    Data Scientist and Adjunct Professor
    Asian Institute of Management, ACCeSs Laboratory
    Led data science projects for smart city initiatives and taught programming for data science.
    • Lead Data Scientist for the MINERVA smart city project in partnership with Baguio City.
    • Created an agent-based scenario for land-use forecast of Cauayan City under the PATURO smart city project.
    • Conducted machine learning studies for predicting water consumption for Manila Water Company Inc.
    • Taught programming for data science under the Master of Science in Data Science.
    • Co-mentored MS Data Science students for their capstone projects with industry and government clients.
  • 2019.09 - 2019.10

    Berkeley, California

    Research Visit
    University of California Berkeley, Mobile Sensing Lab
    Worked on deep reinforcement learning for coordinated traffic signals and contributed to the Flow project's API.
    • Worked on Deep Reinforcement Learning (RL) for coordinated traffic signals.
    • Contributed to Flow project's (Deep RL traffic framework) API, parallelizing Aimsun environments.
  • 2017 - 2021

    Metro Manila, Philippines

    Research Fellow
    Philippine--California Advanced Research Institutes --- DARE
    Developed traffic simulation pipelines and agent-based models.
    • Developed a pipeline for simulating traffic in Metro Manila.
    • Worked on agent-based cellular automata models of traffic.
    • Co-developed a Python interface to OpenTrafficModels.
  • 2016 - 2018

    Metro Manila, Philippines

    Co-Founder and Chief Scientific Officer
    Qwento Analytics
    Led machine learning projects for business analytics and forecasting.
    • Applied machine learning to forecast demand using two years' worth of national shoe sales data.
    • Developed a business analytics dashboard for pilot clients.
  • 2015 - 2017

    Metro Manila, Philippines

    Instructor
    University of the Philippines Diliman, National Institute of Physics
    Taught elementary and computational physics courses to undergraduate students.
    • Taught elementary physics and computational physics courses for undergraduate students.
  • 2012 - 2021

    Metro Manila, Philippines

    Researcher
    National Institute of Physics, Instrumentation Physics Laboratory
    Studied phase transitions in traffic models, geospatial analysis, and computer vision applications in transportation.
    • Studied phase transitions in agent-based cellular automata models of traffic.
    • Worked on geospatial analysis of OpenStreetMaps and school enrollment data from the Department of Education.
    • Developed video processing techniques for traffic and pedestrian analysis using OpenCV and YOLOv3.
    • Supervised graduate and undergraduate students in the Complex Systems subgroup of Prof. May T. Lim.

Education

  • 2017.08 - 2021.05

    Metro Manila, Philippines

    PhD
    University of the Philippines – Diliman
    Physics

Skills

Data Science
torch
tensorflow
keras
pandas
numpy
Traffic Simulation
SUMO
Aimsun
OpenTrafficModels

Languages

English
Native speaker
Filipino
Native speaker
German
B1

Interests

Model kits building
Gundam

References

Prof. Dirk Helbing, PhD
Chair of the Professorship of Computational Social Science group at ETH Zurich.
Prof. Christopher Monterola, PhD
ACCeSs Laboratory Director at the Asian Institute of Management.
Prof. May T. Lim, PhD
PhD supervisor and Complex Systems subgroup head at the National Institute of Physics.