# Ethan Leeman

> AI research scientist at Google

Location: New York, New York, United States
Profile: https://flows.cv/ethanleeman

Software Engineer and Data Scientist interested in machine learning, statistics and general software problems.

## Work Experience
### Senior Research Scientist @ Google
Jan 2026 – Present | New York, United States

### Senior Software Engineer @ Google
Jan 2021 – Jan 2026 | Cambridge, MA

### Research Software Engineer @ Composable Analytics, Inc.
Jan 2020 – Jan 2021 | Cambridge, Massachusetts, United States

### Data Science Fellow @ Insight Data Science
Jan 2020 – Jan 2020 | Boston, Massachusetts, United States
-Created application for bicyclists that provides safer routes, avoiding known dangerous intersections.
-Implemented random forest to model traffic patters and empirical Bayes model to estimate the probability of a collision using public traffic studies, accident data, and OpenStreetMaps network.
-Provided routes that were 68% safer than the fastest route on average.

### Data Science @ SparkCognition
Jan 2018 – Jan 2018 | Austin, Texas Area
Built convolutional neural networks to detect smuggling boats. Implemented YOLO and Faster-RCNN network architectures for real time detection in Tensorflow, achieving 80% accuracy.


## Education
### Doctor of Philosophy (Ph.D.) in Mathematics
The University of Texas at Austin

### Bachelor of Arts (B.A.) in Mathematics and Computer Science
Princeton University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ethan-leeman

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Source: https://flows.cv/ethanleeman
JSON Resume: https://flows.cv/ethanleeman/resume.json
Last updated: 2026-03-31