Focuses on data‑centric machine learning for time series and vision: algorithms for motif discovery and anomaly detection, neurosymbolic document understanding with domain constraints, and rigorous evaluation/benchmarks. Also explores algorithm–hardware co‑design for sampling‑based ML and open‑source tools.