Michael Lindon

Michael Lindon

Staff Research Scientist
Netflix

About

I am a Staff Research Scientist at Netflix and co-creator of Netflix's real-time A/B testing platform, which unifies large-scale stream processing with sequential hypothesis testing to safeguard thousands of production releases monthly. My research focuses on anytime-valid inference, sequential testing, Bayesian analysis and causal inference.

Activities

Nov 2026
INFORMS Annual Meeting 2026
Moscone Center, San Francisco, CA · Nov 1–4
Invited talk in session: Sequential Inference and Adaptive Decision Making with E-Values
Aug 2026
Joint Statistical Meetings (JSM) 2026
Boston, MA · Aug 1–6
Invited talk in session: Extending Inference from Fixed Samples to Anytime-Valid Guarantees
Jul 2026
INFORMS Revenue Management & Pricing Conference
Ross School of Business, University of Michigan · Jul 21–23
Keynote: Building Netflix's Real-Time Experimentation Platform with Anytime-Valid Inference
Jul 2026
ICML 2026
COEX Convention Center, Seoul, South Korea · Jul 6–11
Paper: Anytime-Valid Inference Under Outcome Delay: A Design-Based Approach
Jun–Jul 2026
SAVI 2026
University of Twente, Enschede, Netherlands · Jun 29–Jul 3
Talk: Anytime-Valid Inference Under Outcome Delay: A Design-Based Approach
May 2026
Inaugural Workshop on Experimentation for Decision-Making
Columbia Business School, New York, NY
Poster
2026
ERCIM News
Special Issue: E-Values: Statistical Testing for the 21st Century
Article: Title TBD Magazine
May 2025
AISTATS 2025
Splash Beach Resort, Mai Khao, Thailand · May 3–5
Paper: Anytime-Valid A/B Testing of Counting Processes
Poster
Oct 2024
Conference on Digital Experimentation @ MIT (CODE@MIT) 2024
MIT, Cambridge, MA · Oct 17–18
Poster: Anytime-Valid Continuous-Time Inference for Inhomogeneous Poisson Point Processes
Aug 2024
TTIC Workshop on Sequential Data-Driven Decision-Making
Toyota Technological Institute at Chicago, Chicago, IL · Aug 26–28
Invited talk
May 2024
SAVI 2024
Mathematisches Forschungsinstitut Oberwolfach, Germany · May 5–10
Talk: Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
Dec 2023
CFE-CMStatistics 2023
HTW Berlin, Germany · Dec 16–18
Talk: Anytime-valid linear models and regression adjusted causal inference in randomized experiments
Jul 2023
XVI CLAPEM
IME-USP, São Paulo, Brazil · Jul 10–14
Session IS10: Modern Martingale Methods in Machine Learning and Statistics
Talk: Applications of Martingale Statistical Methods at Netflix
May 2023
American Causal Inference Conference (ACIC) 2023
Austin, TX · May 23–24
Poster
Nov–Dec 2022
NeurIPS 2022
New Orleans Ernest N. Morial Convention Center, New Orleans, LA · Nov 28–Dec 9
Paper: Anytime-Valid Inference for Multinomial Count Data
Poster
Oct 2022
Conference on Digital Experimentation @ MIT (CODE@MIT) 2022
MIT, Cambridge, MA · Oct 20–21
Talk: Accelerating Sequential Testing with Covariates
Aug 2022
KDD 2022
Walter E. Washington Convention Center, Washington, DC · Aug 14–18
Paper: Rapid Regression Detection in Software Deployments through Sequential Testing
Poster
May–Jun 2022
SAVI 2022
EURANDOM, Eindhoven, Netherlands · May 30–Jun 3
Talk: Applications of Always-Valid Inference at Netflix
Poster
Dec 2021
Etsy House of Brands Experimentation
Virtual · Dec 7–8
Talk: Bringing Experimentation to DevOps: Sequential Testing for Fast Detection of Bugs and Performance Regressions
Dec 2019
CFE-CMStatistics 2019
Senate House, University of London · Dec 14–16
Talk: The state of industry statistics in online AB experiments