Michael Mui on Muck Rack

Michael Mui

Vancouver
As seen in: Nature, The Toronto Star, Uber Engineering Blog, Toronto Sun, Calgary Sun, The Province, China Digital Times, Winnipeg Sun, Edmonton Sun, St. Catharines Standard and
Communications @BC_Pharmacy. Formerly investigative reporter @StarVancouver / @TorontoStar, comms @vancrimlawyer, journalist @24hoursvan / @postmedianews.
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Articles

An expanded subventricular zone supports postnatal cortical interneuron migration in gyrencephalic brains - Nature Neuroscience

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By Jaeyeon Kim, Aunoy Poddar, Michael Mui, Theresa Bartels, Christian Wood, Nadejda M. Tsankova, Hosung Kim, Chet C. Sherwood, Angela Roberts, Pablo J. Ross, Nicola J Robertson, Peng Ji, Keira Nakamura, Susana I. Ramos
| Nature
Abstract Cortical GABAergic interneurons generated in the ventral developing brain travel long distances to their final destinations. While there are examples of interneuron migration in the neonatal human brain, the extent of postnatal migration across species and how it contributes to cortical interneuron composition remains unknown.
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Tuning Model Performance

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By Joseph Wang, Michael Mui, Viman Deb, anne holler
| Uber Engineering Blog
Introduction Uber uses machine learning (ML) models to power critical business decisions. An ML model goes through many experiment iterations before making it to production. During the experimentation phase, data scientists or machine learning engineers explore adding features, tuning parameters, and running offline analysis or backtesting. We enhanced the platform to reduce the human toil and time in this stage, while ensuring high model quality in production.
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Elastic Distributed Training with XGBoost on Ray

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By Michael Mui, Xu Ning, Hadoop observability, Kai Fricke
| Uber Engineering Blog
Introduction Since we productionized distributed XGBoost on Apache Spark™ at Uber in 2017, XGBoost has powered a wide spectrum of machine learning (ML) use cases at Uber, spanning from optimizing marketplace dynamic pricing policies for Freight, improving times of arrival (ETA) estimation, fraud detection and prevention, to content discovery and recommendation for Uber Eats.
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