Jignesh M. Patel

Jignesh M. Patel is a Professor at the University of Wisconsin, Madison, WI, USA, with over 25 years of contributions to database systems, data analytics, and hardware-aware query processing. His work bridges theoretical advancements with practical systems engineering.

Research Interests span:

• Database systems optimization (query processing, transaction management)
• Hardware acceleration for analytics (eBPF, PIM, GPUs)
• Machine learning integration in databases (feature selection, model optimization)
• Efficient data structures (hashing, encoding, indexing)
• Multi-tenant and cloud database management

Recent Work focuses on kernel-embedded databases (BPF-DB, 2025), memory-efficient dataframe processing (SplitDF, 2024), and algorithmic-hardware co-design for dense retrieval (DReX, 2025). He has pioneered techniques for adapting to data skew (VIP Hashing, 2022), leveraging static analysis in R optimization (ROSA, 2017), and rethinking benchmarking paradigms.

Collaborations include key partnerships with:

• Systems researchers (Andrew Pavlo, José F. Martínez)
• Machine learning experts (Arun Kumar, Kevin Skadron)
• Education-focused colleagues (Adalbert Gerald Soosai Raj, Richard Halverson)
• Industry leaders (David J. DeWitt, Microsoft Research)