Leoson Hoay

United States · Singapore · Australia · leoson@uchicago.edu

My career has been neither straight nor narrow, bridging the lines between between computer science, social sciences, and the humanities. I am passionate about leveraging advances in technology to solve human problems.

I am always up for a chat about why the gradient keeps disappearing in your model, how researchers used text analysis to assert that Shakespeare was not a single author, and the metrics I used to rank the best cups of hot chocolate that you can find in Hyde Park.

I currently serve as a Data Science and AI Consultant at Diffusion Venture Studio, and as an AI Solutions Architect at Matter Neuroscience.

Outside of my day job, I write a personal arts and science newsletter, Strictly Interdisciplinary. I am also a Part 107 Drone Operator in the United States, a fixed-wing Private Pilot, as well as an Aviation Ground School Instructor.

Current Location: Singapore


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Experience

Solutions Architect

Development of AI infrastructure and data pipeline.

Apr 2026 - Present

Consultant (Data Science & AI)

Data Science and AI consulting to help align capital, deep-sector knowledge, and data-driven research with scalable solution partners in Edtech.

Mar 2025 - Present

Data Scientist

Developing statistical analysis and machine learning models on partner data platforms to accelerate equity in education and housing.

Nov 2022 - Nov 2024

Technical Lead and Lead Data Scientist

Research Analyst and Data Steward
Data Analyst
Research Assistant

Lead the development of data science and analytic talent at the Health Lab. Provided analytic and data science support to various projects in the lab, working with partners such as the Illinois Department of Public Health and the Chicago Children's Advocacy Center in leveraging statistical models and developing analytical tools to evaluate public health policies and interventions. Maintained organization-wide data usage policy and data infrastructure, and reviews and develops new policies subject to HIPAA compliance, user feedback, and best practices in PII/PHI data governance.

Mar 2018 - Oct 2022

Data Engineer

Developed ETL workflows, supported data curation tasks, working mostly with Airflow and cloud platforms such as AWS and Google Cloud.

Apr 2019 - Sep 2019

Writing Tutor

Provided instructional and consultative writing support to the UofC student population in both academic and business writing.

Sep 2018 - Jan 2019

Interaction Designer

Prototyped in Unity and JavaScript for IoT and VR applications. UX design and research using mixed methods, lab studies, and device monitoring.

Feb 2017 - Jun 2017

Intern - Program Implementation and Evaluation

Review and evaluation of existing psychological and clinical program implementation. Building data infrastructure and data collection workflows, in-depth research and literature review of current clinical and rehabilitation practices in correctional settings.

Dec 2016 - Feb 2017
Dec 2016 - Feb 2017

Community Analyst

Aug 2015 - Nov 2015

Student Services Advisor

Aug 2014 - Nov 2014
Jul 2014 - Oct 2014

Education

Georgia Institute of Technology

Master of Science, Computer Science

Computer Vision · Machine Learning · Robotics

August 2021 - May 2025

University of Chicago

Master of Arts, Computational Social Science

Causal Inference · Machine Learning · NLP · Computational Linguistics · Databases

August 2017 - June 2019

Australian National University

Study Abroad Program

Science Communication · Anthropology · Philosophy

July 2014 - November 2014

National University of Singapore

Bachelor of Social Sciences (Honors)

Communications & New Media · Psychology

August 2012 - December 2016

Awards & Certifications


Projects

  • COVID-19 Prediction using CT Scans
    A project that used machine learning models to predict COVID-19 diagnoses using CT Scan image data. This project was completed in collaboration with Fiona Fan as part of the requirements for the MS in Computer Science degree with the Georgia Institute of Technology.

  • Transform911
    The University of Chicago Health Lab is gathering experts in health care, academia, government, emergency response and public safety—in collaboration with advocates and elected leaders via virtual roundtables and working groups—to examine America's 911 system.

  • A Primer to Folium: A Python Library for Simple Geospatial Visualizations
    A lesson I created as part of a Python workshop for beginners. This notebook explores a simple use case for Chloropleth maps in the Folium library, with a sample dataset of chess grandmasters. It also briefly visits the topics of web scraping and connecting to a database (MongoDB).

  • Visualizing the Mandelbrot Set in JavaScript and Canvas
    Using an escape algorithm, the Mandelbrot Set is rendered using JavaScript and Canvas.

Publications