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I currently serve as the CEO of DataScientific, Inc., 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, a leading AI company known for producing H2O, 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 algorithm, 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) and a co-founder of R-Ladies Global, both organizations aimed at promoting diversity and inclusion in the AI field. I also collaborate with the OpenML organization to develop open source benchmarking tools for machine learning.

Author or co-author:

• H2O: Scalable Machine Learning & AutoML Platform
• H2O AutoML Wave App: Wave App (web GUI) for H2O AutoML (Python)
• h2o4gpu: R interface for H2O4GPU, machine learning on GPUs
• rsparkling: R interface for H2O Sparkling Water, machine learning on Spark
• OpenML AutoML Benchmark: Benchmarking Framework for AutoML tools (Python)
• cvAUC: Computationally efficient confidence intervals for CV AUC estimates in R
• subsemble: R package for ensemble learning on subsets of data
• SuperLearner: R package for Super Learning (Stacked Ensembles)
• meetupr: R interface to the meetup.com API
• rHeathDataGov: R interface to the HealthData.gov Data API

• JuliaCon 2022
• NeurIPS 2021: Benchmarks and Datasets track
• useR! 2020
• LatinR 2019