Bea Steers
Research Scientist at NYU Center for Urban Science + Progress
New York, New York, United States
Summary
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Senior🎓
Top SchoolBea Steers is a research scientist and data engineer with a decade of experience building data pipelines, visualizations, and machine learning systems in urban sensing environments. Based at NYU Center for Urban Science + Progress, she blends deep learning (TensorFlow) and classical ML to solve real-world problems like sensor fault detection and network monitoring for city-scale deployments. Her background in acoustical engineering and urban informatics informs nuanced approaches to audio-based models and low-latency dashboards, having slashed dashboard load times from ~10s to under 1s and migrated metrics to Grafana. Comfortable across Python and JavaScript, she bridges research and production, deploying models and alerting systems that keep sensor networks healthy. She also brings an experimental, research-minded perspective—balancing rigorous evaluation of many classifiers with pragmatic engineering to deliver operational solutions.
10 years of coding experience
B.S.E., Acoustical Engineering and Music, B.S.E., Acoustical Engineering and Music at University of HartfordMaster's degree, Urban Science & Informatics, Master's degree, Urban Science & Informatics at New York University
Stackoverflow
21reputation
170reached
0answers
1question
Github Skills (200)
hyperparameter-optimization10
automl10
command-line-tool10
influxdb10
graphql-api10
llm-inference10
api10
neural-network10
organize10
data-science10
prometheus10
jupyterlab-extension10
nodejs10
sql-database10
visualization10
Programming languages (14)
Github contributions (5)
reip-project/reip-pipelines
Jun 2020 - Apr 2022
Contributions:364 commits, 17 pushes in 1 year 10 months
beasteers/VGGish
Sep 2019 - May 2020
An inplementation of vggish in keras with tf backend
Contributions:26 commits, 22 pushes in 8 months
backendkerasvggish
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