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Radhika Bhalla

Operator

Radhika Bhalla is recognized for her leadership at the intersection of machine learning infrastructure and large-scale programmatic advertising, heading data science and ML efforts at Xandr, Microsoft's ad technology platform. Her work centers on building and refining the algorithmic systems that power one of the world's largest programmatic marketplaces, including bid optimization, audience modeling, and AI-driven yield management tools used by publishers and advertisers globally. Her role at Xandr places her at a critical juncture in the industry's evolution, as programmatic platforms increasingly rely on sophisticated ML pipelines to replace signal loss from deprecated third-party cookies and shifting identity frameworks. Bhalla's team is responsible for the ML infrastructure that must operate at massive scale, processing billions of bid requests while adapting to a rapidly changing data landscape. As a senior technical leader in AdTech, Bhalla represents a growing cohort of data science executives shaping how programmatic platforms evolve beyond rule-based systems toward adaptive, model-driven architectures. Her work reflects the broader industry shift toward first-party data strategies and privacy-preserving machine learning approaches within enterprise ad platforms.

Last updated Jul 30, 2026 by ATDb automated enrichment · Connections updated Aug 3, 2026

Role
Head of Data Science & ML
Company
Xandr (Microsoft Advertising)
Based
New York, New York, United States
Connections
1
Years in industry
15 years

Bio

Radhika Bhalla is recognized for her leadership at the intersection of machine learning infrastructure and large-scale programmatic advertising, heading data science and ML efforts at Xandr, Microsoft's ad technology platform. Her work centers on building and refining the algorithmic systems that power one of the world's largest programmatic marketplaces, including bid optimization, audience modeling, and AI-driven yield management tools used by publishers and advertisers globally. Her role at Xandr places her at a critical juncture in the industry's evolution, as programmatic platforms increasingly rely on sophisticated ML pipelines to replace signal loss from deprecated third-party cookies and shifting identity frameworks. Bhalla's team is responsible for the ML infrastructure that must operate at massive scale, processing billions of bid requests while adapting to a rapidly changing data landscape. As a senior technical leader in AdTech, Bhalla represents a growing cohort of data science executives shaping how programmatic platforms evolve beyond rule-based systems toward adaptive, model-driven architectures. Her work reflects the broader industry shift toward first-party data strategies and privacy-preserving machine learning approaches within enterprise ad platforms.

Expertise & education

Expertise

Bid OptimizationAudience ModelingMachine Learning InfrastructureProgrammatic AdvertisingYield ManagementAI-Driven Ad TechData Science LeadershipPrivacy-Preserving ML

Speaking topics

Machine Learning in Programmatic AdvertisingBid Optimization at ScaleAI-Driven Yield ManagementAudience Modeling and Identity in a Privacy-First Era

Recognition

Notable achievements

  • Leading ML and data science strategy at Xandr, one of the largest programmatic marketplaces globally under Microsoft Advertising
  • Building ML infrastructure supporting bid optimization across billions of programmatic transactions
Connection details