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Resonate Earns Prestigious Recognition at Leading AI/ML Conferences for Advances in Responsible User Modeling

October 02, 2025
Resonate Earns Prestigious Recognition at Leading AI/ML Conferences for Advances in Responsible User Modeling

Resonate lead data scientist, Aman Shukla, selected to present at ICML, IEEE, and NeurIPS 

RESTON, Va., October 2, 2025 — Resonate, the leading provider of predictive consumer intelligence, today announced that its data science team has been recognized with multiple prestigious awards and speaking invitations at some of the world’s most influential artificial intelligence conferences, including ICML (International Conference on Machine Learning), IEEE (Institute of Electrical and Electronics Engineers ), and NeurIPS (Neural Information Processing Systems). 

Resonate’s research on adaptive surveys, fairness in personalization, and responsible imputation of user behavior data has been peer-reviewed, awarded, and selected for presentations across the AI research community. These accolades reinforce the company’s leadership in translating cutting-edge data science into measurable marketing performance for brands and agencies. 

  • Best Paper Award at ICML NewInML Workshop (July 2025): “Modeling User Behavior from Adaptive Surveys with Supplemental Context” was honored as Best Paper, spotlighting its novel approach to improving behavioral models by augmenting behavior using supplemental signal and survey-guided learning. 
  • Oral Presentation at IEEE FMLDS (Nov 2025): “Towards Fair User Modeling with Survey Guided Learning” introduces the first systematic methodology for evaluating fairness in personalization frameworks. 
  • Oral Presentation at IEEE ICDM HDM Workshop (Nov 2025): “Responsible Imputation of User Behavior Surveys via Mask-Aware Transformers” demonstrates a breakthrough framework for responsibly filling survey gaps. 
  • Poster/Oral Presentation at NeurIPS Reliable ML Workshop (Dec 2025): Highlights fairness-audited solutions for reliable user modeling at scale. 

Connecting Research to Marketing Outcomes 

These independent recognitions validate the rigor and originality of Resonate’s proprietary methodology, ensuring that its data delivers more than just signals—it delivers smarter targeting, better campaign performance, and equitable personalization outcomes. 

  • Higher Performance: Instead of relying on long, time-consuming surveys, Resonate uses adaptive surveys that ask smarter, more focused questions and combines them with other valuable consumer signals. This richer view of consumer behavior leads to campaigns that consistently outperform the market—for example, driving a 22% lift in sales for clients. 
  • Fair and Responsible: Resonate’s systems are reviewed and validated to eliminate bias. This ensures that brands reach their audiences fairly and inclusively, while also staying ahead of growing rules and regulations around AI and data use. 
  • Reliable at Scale: Resonate’s technology can responsibly fill in the blanks when surveys answers are incomplete That way, clients can trust that the insights they get from Resonate are accurate, consistent, and dependable, even across millions of consumers. 

“Winning a Best Paper award at NewInML at ICML and being invited to present at IEEE and NeurIPS demonstrates that the Resonate approach to data science is not only practical, but also scientifically validated by the global AI community,” said Aman Shukla, lead data scientist at Resonate & lead researcher and author of the awarded papers. “This research is already powering Resonate’s consumer intelligence solutions, helping marketers achieve superior campaign performance while maintaining fairness and responsibility.”