I’m Juan Acosta-Sequeda
Urban Scientist and PhD Student at the University of Illinois Chicago.

About Me

My research focuses in modeling and understanding the complex nature of urban interrelationships both at the social and infrastructure levels. I leverage Machine Learning, Visualization, and GIS to accomplish this with the ultimate goal of achieving a better understanding of urban dynamics to reach more sustainable cities.

News

2024

2023

  • I successfully finished my 3-month research internship at Argonne National Lab VMS department. I am also glad to announce I will continue my PhD being funded by this department.

Latest research

Residential electricity usage patterns and commute times

Time series clustering of electricity data leads to the emergence of spatial aggregation. Commute times are used to explain this phenomenon, showing that long transit trips are the strongest predictors.

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Sentiment Analysis on X and telework estimation

Developed a sentiment analysis model to capture people's perception on working from home. Then used the sentiment and other Twitter (now X) extracted features to estimate current telecommuting prevalence in the US at the national and state level.

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Energy in Chicagoland

Investigating the way in which people use electricity in Chicago

Ongoing research... In the meantime, enjoy a fun animation of one day of electricity usage in Chicago.

Preview

Work Experience

2023 - Present

Argonne National Laboratory

Research Assistant

I work as part of the Transportation Systems & Mobility group in analyzing transportation system management strategies involving emerging vehicle and information technologies. I specifically work on:

  • Automatic generation of transportation networks for modelling in the POLARIS framework
  • Data analytics of energy consumption load to assess electrification impact on Chicago region grid
2019 - 2021

Steer

Assistant Consultant

Worked as part of the team that did the city-wide trip survey and developed the subsequent transportation EMME model in Bogota using the 4-step approach. This model is currently being used as one of the main inputs for urban planning and policy making in the city.

  • Estimated and calibrated Bogota's trip generation model
  • Operated the Medellin EMME model for data driven policy making in cooperation with local authorities
  • Conducted GIS analysis for the proposal the first implemenation of bus routes in a municipality in Puerto Rico
Download CV