About

Hi! I'm Irene Alisjahbana

I am passionate about using data to solve complex problems related to the built environment. As a former professional athlete, I pride myself on applying the disciplined practice to everything I do. As a researcher, I am able to quickly discover and understand patterns in data by leveraging state-of-the art methods, whether it be independently or collaboratively across different teams. And as a designer, I combine those quantitative results with powerful visualizations to communicate solutions to stakeholders.

Areas of expertise include data science, machine learning, geospatial analysis, and disaster risk reduction.

Currently working as a Data Scientist at Lacuna Technologies and lecturer at Stanford d.school

Contact me here!

Email: alisjahbana@stanford.edu

Education

PhD in Structural Engineering - Stanford University

California - USA

2019-2022

Master of Science in Structural Engineering - Stanford University

California - USA

2017-2019

Bachelor of Engineering in Civil Engineering - Universitas Indonesia

Depok - Indonesia

2013-2017

My Work

Selected Projects

Engineering/Design

Wiratman Karkasa Bridge, Depok, Indonesia

I led a team of three to prepare a preliminary design report for an award winning bridge, which included the design, structural analysis, cost estimation and construction plans.

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Recovery

Modeling Housing Community Recovery using a Stochastic Queueing Model

In this project, I develop a novel stochastic queuing model that accounts for the total number of damaged buildings, the damage distribution, resource constraints and reconstruction prioritization strategies.

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Recovery

Financing Model for Post-Earthquake Housing Recovery: Quantifying Recovery Inequalities Across Income Groups

We develop a financing model for post-earthquake housing recovery, quantify inequalities in recovery time, and suggest several strategies to reduce disparities between income groups.

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Damage Assessment

Multi-Disaster Building Damage Segmentation and Classification using Satellite Imagery

We create a deep learning model that combines a building identification semantic segmentation convolutional neural network (CNN) to a building damage classification CNN.

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Engineering/Design

Mars City Design Competition 2018

I helped lead our team to a 1st place design delivery with my contribution to our entry for the Mars City Design competition. I created sketches, engineering plans, and deployment plans for a proposed colonization on Mars.

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Engineering/Design

Kuwaka Bridge

As part of the NTU Bridge Design Competition 2017, I worked in a team of two to design a bridge made out of balsa wood and nylon string. We were awarded 2nd place internationally.

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