Organizers

Neha Gupta is Head of Data Science| Machine Learning at Common Room. Before joining Common Room, Neha spent her time at companies such as Linkedin, Uber and Adobe working on challenging problems ranging from personalization, recommendations, forecasting and go-to-market ML. Neha graduated with her Ph.D degree in Computer Science from University of Maryland, College Park. She has several publications in top tier conferences and has chaired two prior workshops on Offline and Online evaluation of ML Systems in KDD (2019) and WWW (2015).

Zhenyu is a Data Science Director at Tencent, solving data science challenges through measurement and optimization for global games. He has experience in experimentation, causal inference, modeling, product analytics, and data platform solutions. He co-founded CausalML open source project, which is focused on providing complementary and practical solutions for causal learning, such as uplift modeling and observational causal inference.

Mert is the Head of Business Data Science at Noom solving data science challenges on growth marketing, strategy and finance related to increasing customer value, revenue, optimizing cost-of-acquisition by building data solutions for financial planning and forecasting, measurement and optimization across investment levers and audiences for paid & owned acquisition, re-engagement, retention and win-back, pricing using analytics, machine learning, predictive modeling, mathematical optimization and causal inference methods.

Anbang Xu is a Data Science Manager at LinkedIn. He leads a horizontal team at Go-to-Market (Monetization) to develop and optimize AI models across LinkedIn products. His research is a mix of Applied Machine Learning and HCI. He is the Associate Editor of ACM Transactions on Interactive Intelligent Systems. He has published 50+ research articles and 25+ patents and received 2,200+ citations. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign.

Faisal Farooq is an established AI research leader with over 15 yrs of experience in applying machine learning in the various domains, managing large research teams with multimillion dollar R&D portfolio. Faisal is currently a Director of Artificial Intelligence at LinkedIn (Microsoft). He was nominated as a Key Expert (Distinguished Scientist) which is the highest research status in Siemens. Faisal has authored 20+ patents, 50+ scientific publications, organized 15+ conferences and workshops (NIPS, ICML, KDD, ICPR). Faisal was appointed as the General Chair of KDD 2018 and Associate General Chair of KDD 2017. Faisal’s general areas of interest are in machine learning and specifically applications for healthcare including clinical decision support, disease progression modeling, predictive modeling and risk stratification.