Yosh Halberstam
Causal measurement systems for product, growth & AI
Economist and data scientist with 15+ years designing empirical and quasi-experimental measurement in complex real-world systems — from platform-scale networks to behavioral signal processing.
Causal inference
Measurement design & evaluation
Networks & diffusion
Behavioral measurement
Incentives & system design
2.2M+
Users analyzed in social graphs
90M+
Network connections modeled
40K+
Audio samples processed
15+ yrs
Longitudinal data linked
Based in: Washington, DC
Email: yosh.halberstam@gmail.com
LinkedIn: yoshhalberstam
Focus: Applied science / economics / experimentation / measurement
Selected work
- Platform-scale diffusion measurement: quantify exposure bias, diffusion latency, and network structure in large social graphs.
- Behavioral signal processing: extract latent behavioral features from audio and other unstructured modalities.
- Incentives and system design: causal measurement frameworks for adoption, retention, pricing, and distributional outcomes.
What I’m looking for
- Established tech or AI organizations where rigorous measurement drives real product and platform decisions.
- Roles spanning applied science, economics, experimentation, product analytics, and strategy.
- Teams working on adoption, pricing/incentives, algorithm evaluation, experimentation systems, or platform integrity.