PROFESSIONAL EMPLOYMENT

Apple. 2016-Present. Distinguished Engineer, Scientist and Technologist (DEST)

  • Set strategy and vision for the end-to-end ML product monitoring and diagnosis platform. This platform includes on device counterfactual evaluation and personalization.

  • Built the R&D and engineering teams from scratch, established key partnerships, and produced innovations in data drift, statistical evaluation, and diagnostics.

  • This platform is in use across multiple orgs in Apple. It is the tool used by all of Siri models in all locales for R&D, gating (ship/no ship), and for benchmarking ML models in production. It is also shipping on device for private ML model monitoring and personalization.

Samsung Research America. 2015-2016. Distinguished Research Engineer

  • Responsible for machine learning strategy with applications to the Internet of Things (IoT) including customer personalization and server analytics.

Zynga. 2015. Chief Scientist

  • Directed the ML team responsible for on game personalization and predictive analytics.

  • Delivered ML products for predicting player churn and player payment to games encompassing 90% of the company revenue. Architected the machine learning pipeline.

Microsoft Research. 2006-2014. Partner Principal Researcher

  • Led R&D in statistical machine learning with applications to automated diagnosis and repair of large distributed systems, cyber-security, and social networks.

  • Delivered innovative technology to multiple products and services in Bing, Windows Live, Hotmail, Exchange, and Skype.

Hewlett-Packard Labs. 2001-2006. Department Scientist

  • Directed an R&D team focused on machine learning methods for predictive analytics, automated diagnosis, and repair of large IT ecosystems.

  • Transferred the technology into the following HP-products: “Service Health Analyzer” and “Operation Analytics”

Peakstone (start up). 1999-2001. Principal Scientist

Designed, developed, and implemented the core algorithms of the eAssurance product for monitoring and predicting e-commerce capacity and quality of service.

SRI International. 1996-1999. Manager and Principal Investigator

  • Basic research on pattern recognition, probabilistic modeling, and machine learning.

  • Procured government funding for the equivalent of 4 full time employees and summer interns.2006-2014    

EDUCATION

University of California, Los Angeles - Ph.D. in Computer Science

ACADEMIC/PROFESSIONAL ACTIVITIES

  • Over 85 publications and 23 patents (Google scholar h-index=41, i-index=77, over 15.5k citations)

  • Associate editor (2000-2016) of the Journal for Machine Learning Research and the Journal for Bayesian Analysis

  • Over 30 invited talks, lectures, tutorials, and summer schools.

  • Stanford University Lecturer (1999-2000). Grad courses in Machine Learning

  • Co-founder of the yearly workshop of systems and machine learning (ran for 6 years and revived recently in 2020)

  • Hewlett-Packard Internet Systems and Storage Labs Team Award and Research Leadership Award

  • Co-chair of the Conference on Uncertainty in Artificial Intelligence

  • Professional (recorded) saxophonist and composer (under the name of Moises P. Monk)