Ruoxi is a senior software engineer in Google Brain, focusing on fundamental deep learning research and its applications in recommenders, especially on learning better feature interactions and memory and computational efficient models. She also works very closely across teams in Google's major organic and Ads products to put her research into practice.

Derek is a senior staff software engineer and TLM at Google Brain, where he leads a team of sciengineers to work on applied neural modeling research and applications in recommenders & ads modeling. Research wise, efforts span from representation learning like learning better feature crosses and embeddings, to deep retrieval, sample efficient learning and more recently graph neural net.

Carole-Jean Wu is currently a Research Scientist Manager at Meta. Her research sits at the intersection of computer systems and machine learning. Her work focuses on developing energy- and memory-efficient systems, optimizing systems for machine learning execution at-scale, and designing learning-based approaches for system design and optimization for datacenter infrastructures and edge systems.

Mehdi Ben Ayed is a machine learning engineer at Spotify, leading a team focused on personalizing user’s experience using Reinforcement Learning. His interests span multiple areas of machine learning such as recommender systems, deep learning and reinforcement learning.

Nathan Kallus is an Assistant Professor at Cornell Tech, Cornell University and a Senior Research Scientist at Netflix. Nathan's research interests include optimization, especially under uncertainty; causal inference; sequential decision making; and algorithmic fairness. He holds a PhD in Operations Research from MIT as well as a BA in Mathematics and a BS in Computer Science from UC Berkeley. Before coming to Cornell, Nathan was a Visiting Scholar at USC's Department of Data Sciences and Operations and a Postdoctoral Associate at MIT's Operations Research and Statistics group.

Moumita Bhattacharya is a senior research scientist at Netflix Research where she develops at-scale machine learning models for Search and Recommendation Systems. Prior to Netflix, she was a Senior Applied Scientist at Etsy, where she was tech leading the recommender systems team. Her research interest includes developing at-scale ranking models, machine learning for personalization and broadly search and recommender systems. Moumita has a PhD in Computer Science with a focus on Machine Learning and its applications to healthcare. She is also an adjunct faculty in the Data Science Institute of University of Delaware.

Even Oldridge is a Senior Manager at NVIDIA where he leads the Merlin team developing open source software to support teams building recommender systems. He is also co-chair of the ACM RecSys 2022 Industry track and the author of several papers and patents on the subject.

Julian McAuley has been a professor in the Computer Science Department at the University of California, San Diego since 2014. Previously he was a postdoctoral scholar at Stanford University after receiving his PhD from the Australian National University in 2011. His research is concerned with developing predictive models of human behavior using large volumes of online activity data.

Nadia Fawaz is a Senior Staff Applied Research Scientist and the Technical Lead for Inclusive AI at Pinterest. Her research and engineering interests include machine learning for personalization, AI fairness and data privacy, and her work aims at bridging theory and practice. She was named one of the 100 Brilliant Women in AI Ethics 2021, her work on Hair Pattern Search was recognized in the AI and Data category on Fast Company’s World Changing Ideas 2022 list with an honorable mention, and her work on inclusive AI was featured in many news outlets, including The Wall Street Journal, Fast Company, Vogue Business and CBS.

Dr. Tao Ye is a Sr. Applied Science Manager at Amazon, where she leads a team of scientists and engineers at Amazon Music to work on music conversations. This effort brings recommender systems, dialog management and spoken language understanding together to help customers discover music interactively. In the larger research community, she has served on the steering committee of Recsys since 2018, and is currently industry co-chair of 2022 SIGIR and 2022 CIKM.