Bach Q. Ha Email & Phone Number

Redmond, Washington, Us

Leading and managing Ads Monetization, the most concentrated Data & Applied Sciences organization at Microsoft Advertising. The organization is responsible for Advertiser Optimization (aka Auto-Bidding & Budget Pacing/Smoothing), Market Design (aka Auction or Mechanism Design) and Marketplace Optimization (i.e. KPI trade-offs) for all marketplaces served by Microsoft Advertising (including Search, Shopping, Display, Video, Audience and beyond)The Advertiser Optimization function focuses on providing automated bidding algorithms for our advertisers. The teams optimize individual advertisers' ad performance across products and markets served by Bing Ads (including Search, Native, Audience Network, etc.), given their individualized optimization objective and constraints. The team builds everything from scratch: platform, infrastructure, optimization algorithms, experimentation frameworks, modeling, and other support functions such as metrics, monitoring, analytics, etc. The revenue under our influence is more than 99%.The Market Design and Optimization team focuses on increasing and sustaining the marketplace's efficiency in the long term, which continuously drives substantial overall revenue gain. The team experiments, designs, and implements ways to allocate and price ads optimally (colloquially known as the auction). We also build tools and scale the operation that tunes the KPIs of all of our markets and experiments to ensure that the marketplace is always at the most optimal operating point. We directly contribute to ~20% of the revenue lift given all other KPIs hold equal.March 2018: Principal Data & Applied Scientist ManagerMarch 2015: Senior Data & Applied Science Manager

Evanston, Il, Us

Built a framework for designing approximately-optimal auctioning mechanisms in settings where no prior distributional information of the market is known (a.k.a. prior-free mechanism design) including scenarios where participants have budget constraints. The framework is modular in design, relatively simple in analysis, and thus can be extended to accommodate different criteria as well as objectives.

Evanston, Il, Us

Optimized, including developing, implementing, and testing, very-large-scale integrated (VLSI) systems, with the primary focus on reducing latency and increasing efficiency while maintaining functional integrity of circuit designs using numerous advanced optimization techniques.