https://github.com/ledell/ledell
https://github.com/ledell/ledell
Last synced: 5 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/ledell/ledell
- Owner: ledell
- Created: 2021-02-26T06:38:28.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-11-24T20:29:23.000Z (over 1 year ago)
- Last Synced: 2025-01-17T06:07:40.113Z (over 1 year ago)
- Size: 35.2 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
### Hi there 👋
I am the Chief Scientist at [Distributional](https://distributional.com), where we're building an automated analytics and testing platform for LLM and Agentic AI applications. I am also the founder of [DataScientific, Inc.](https://datascientific.com), an AI Advisory and Consulting firm specializing in the development and implementation of cutting-edge AI solutions. Previously, I was the Chief Machine Learning Scientist at [H2O.ai](https://h2o.ai), a leading AI company known for producing [H2O](https://github.com/h2oai/h2o-3), an open source, distributed machine learning platform, along with Driverless AI, h2oGPT, LLMStudio, and a range of other Enterprise AI systems. My tenure at H2O.ai was marked by the creation and leadership of the development team for the [H2O AutoML](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html) algorithm (the first open source enterprise AutoML platform), where I also spearheaded efforts in explainable/interpretable AI, algorithmic fairness and AI benchmarking and measurement.
Additionally, I am the founder of [WiMLDS (Women in Machine Learning and Data Science)](https://github.com/wimlds) and a co-founder of [R-Ladies Global](https://github.com/rladies), both organizations aimed at promoting diversity and inclusion in the AI field. I also collaborate with the [OpenML](https://github.com/openml) organization to develop open source benchmarking tools for machine learning, including the industry standard benchmark for AutoML systems (AMLB).
#### Selected open source software contributions 📦
Author or co-author:
- [H2O](https://github.com/h2oai/h2o-3): Scalable Machine Learning & AutoML Platform
- [H2O AutoML Wave App](https://github.com/h2oai/wave-h2o-automl): Wave App (web GUI) for H2O AutoML (Python)
- [h2o4gpu](https://github.com/h2oai/h2o4gpu/tree/master/src/interface_r): R interface for H2O4GPU, machine learning on GPUs
- [rsparkling](https://github.com/h2oai/sparkling-water/tree/master/r): R interface for H2O Sparkling Water, machine learning on Spark
- [OpenML AutoML Benchmark (AMLB)](https://github.com/openml/automlbenchmark): Benchmarking Framework for AutoML tools (Python)
- [cvAUC](https://github.com/ledell/cvAUC): Computationally efficient confidence intervals for CV AUC estimates in R
- [subsemble](https://github.com/ledell/subsemble): R package for ensemble learning on subsets of data
- [SuperLearner](https://github.com/ecpolley/SuperLearner): R package for Super Learning (Stacked Ensembles)
- [meetupr](https://github.com/rladies/meetupr): R interface to the meetup.com API
- [rHeathDataGov](https://github.com/rOpenHealth/rHealthDataGov): R interface to the HealthData.gov Data API
#### Selected keynote presentations 👩🏻🏫
- [AutoML Conf 2025](https://github.com/ledell/automl-2025-keynote/): Towards Automated Evaluation of LLM Applications
- [R/Medicine 2025](https://github.com/ledell/rmedicine-2025-keynote/): Model Evaluation: From ML to GenAI
- [JuliaCon 2022](https://github.com/ledell/juliacon-2022-keynote): APIs & Community: Building for Success
- [NeurIPS 2021](https://github.com/ledell/neurips-2021-keynote): Towards Responsible ML Benchmarking
- [useR! 2020](https://github.com/ledell/useR2020-automl): Responsible Automation: Towards Interpretable & Fair AutoML
- [LatinR 2019](https://github.com/ledell/LatinR-2019-keynote): Scalable Automatic Machine Learning in H2O