LabCompass

Mia Liu

Physics and Astronomy · Purdue University West Lafayette

OpenAlex
Mid career · publishing since 2006
Particle Detector Development and PerformanceParticle physics theoretical and experimental studiesScientific Computing and Data ManagementComputational Physics and Python ApplicationsParallel Computing and Optimization Techniques

Publications

38

Citations

475

Est. group size

—

Recurring co-author estimate

Active years

20

Publishing since 2006

Research summary
AI-generated

Mia Liu works in experimental particle physics, focusing on building and improving particle detectors and developing fast machine-learning tools to process the enormous data volumes generated by high-energy physics experiments. Her work includes designing hardware-accelerated AI systems (such as using FPGAs, a type of reconfigurable computer chip) for tasks like particle tracking and detector readout. This research supports large collaborative experiments like CMS at the Large Hadron Collider and DarkQuest.

Particle detector developmentMachine learning for physics data analysisHardware acceleration (FPGAs) for AICharged particle tracking algorithmsHigh-energy physics computing infrastructure

Publication output has been relatively steady over the last decade, with a peak of 9 publications in 2022 and an average of about 3.8 publications per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
17182019: 6 publications192020: 3 publications202021: 5 publications212022: 9 publications9222023: 3 publications232024: 3 publications242025: 4 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×12
  • DSpace@MIT (Massachusetts Institute of Technology)×4
  • Frontiers in Big Data×2
  • Computing and Software for Big Science×1
  • Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment×1
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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