Pu Jiao

About Me

PhD candidate in Computer Science with research experience in high-performance computing, data compression algorithms, and large-scale system optimization. Seeking opportunities in academia and industry to apply my expertise in developing efficient solutions that improve data processing efficiency. Proficient in C++, Python, and parallel computing frameworks with hands-on experience in cloud infrastructure and database management. Published researcher with 10+ peer-reviewed publications in top-tier venues.

Technical Skills

Programming Languages

C++ (Advanced), Python (Advanced), JavaScript, SQL, R, MATLAB

Frameworks & Libraries

MPI, OpenMP, CUDA, NumPy, Pandas, SciPy, scikit-learn, TensorFlow

Cloud & Infrastructure

AWS, Docker, Kubernetes, Linux/Unix systems, Git, CI/CD pipelines

Databases & Storage

MongoDB, MySQL, SQLite, Redis, distributed storage systems

Tools & Technologies

CMake, Spack, REST APIs, microservices, data compression algorithms

Specializations

High-performance computing, algorithm optimization, data analytics, machine learning

Education

Ph.D. in Computer Science (Expected May 2026)

University of Kentucky

Lexington, KY | May 2026

M.S. in Civil Engineering

Missouri University of Science and Technology

Rolla, MO

B.Eng. in Civil Engineering

Xi'an Jiaotong University

Xi'an, China

Professional Experience

Research Assistant

University of Kentucky

Aug 2022 - Dec 2024 | Lexington, KY

Developed and implemented artifact detection algorithms for scientific lossy compression systems
Optimized interpolation-based compression algorithms achieving up to 90% improvement in compression ratio
Conducted comprehensive performance analysis of multiple lossy compressors for large-scale scientific datasets
Designed detection methodologies for compression artifacts using advanced signal processing techniques

Teaching Assistant

University of Kentucky

Jan 2025 - Present | Lexington, KY

CS216: Introduction to Software Engineering Techniques - led lab sessions and provided student support
Received "Excellent" ratings across all teaching categories with 4.1-4.4/5 student evaluations
Guided students through programming assignments and held regular office hours

Selected Publications

[VLDB'25]

QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression

Liu, Jinyang*, Jiao, Pu*, Zhao, Kai, Liang, Xin, Di, Sheng, Cappello, Franck (*Equal contribution)

[IPDPS'25]

Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction

Jiao, Pu, Di, Sheng, Xia, Mingze, Wu, Xuan, Liu, Jinyang, Liang, Xin, Cappello, Franck

[HiPC'23]

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors

Jiao, Pu, Di, Sheng, Liu, Jinyang, Liang, Xin, Cappello, Franck

[VLDB'22]

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data

Jiao, Pu, Di, Sheng, Guo, Hanqi, Zhao, Kai, Tian, Jiannan, Tao, Dingwen, Liang, Xin, Cappello, Franck

Professional Service

Reviewer
IEEE Transactions on Parallel and Distributed Systems (TPDS)

Student Volunteer
SC25 (The International Conference for High Performance Computing, Networking, Storage, and Analysis)