Software Engineer
Microsoft
Azure Core HPC/AI Training Platform

Usable Privacy and Security Researcher (Previously)
CMU CyLab Security & Privacy
Published in ACM CHI '24

Head Teaching Assistant (Previously)
15-330/18-330 Introduction to Computer Security
Carnegie Mellon University

Claire Chen

(陈宸)

Software engineer and researcher focused on AI infrastructure, high-performance computing, and security. Building scalable systems, passionate about leading technical initiatives, and contributing to creating inclusive, human-centered technology. Studied in 4 countries and traveled to 23, I bring a global perspective to solving complex challenges at the intersection of AI, systems, and security.

Career Coach

I support aspiring technologists in achieving their career goals

Seeking: Co-founders for AI-focused startups

Publications View Projects Get Coaching Contact Me

Research & Technical Expertise

Bridging high-performance computing, AI/ML systems, and security research

Programming Languages

C C++ Python Go Rust Java R SQL JavaScript x86/x64 Assembly SML Dafny

Technologies & Frameworks

PyTorch TensorFlow Apache Spark NumPy Pandas Scikit-learn OpenCV CUDA OpenMP MPI Azure AWS Databricks Docker Git Linux Power BI

Human Languages

English (Native) Mandarin Chinese (Native) Spanish (B1/B2 level)

Research Interests

AI/ML Infrastructure: Building performance monitoring and predictive ML systems for AI supercomputing clusters (NVIDIA H100/GB200). Expertise in large-scale data engineering with Spark and real-time telemetry.

Systems & HPC: Operating systems design, parallel algorithms (OpenMP/MPI/CUDA), GPU computing, and performance optimization for distributed systems.

Usable Security & Privacy: Published research on IoT security labels influencing FCC policy. Human-computer interaction and privacy engineering.

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