Professional profile
About
My work sits in the validation layer of autonomous systems: turning road anomalies into replayable scenarios, comparable metrics, and regression workflows that can keep running.
How I work
I usually start with anomalies or long-tail cases in driving data, define the problem boundary and reproduction conditions, rebuild the behavior through replay or closed-loop simulation, and validate the change with system-level metrics. The output is not only a conclusion, but reusable scenarios, metrics, and regression entry points.
- 01DiscoverFind a problem worth explaining
- 02DefineSet boundaries and conditions
- 03ReproduceReplay or closed-loop simulation
- 04ValidateMetrics, comparison, regression
Published here
The site separates information by maturity: long-form methods, curated case studies, and lightweight updates.