Jiajun LiRESEARCH / ENGINEERING

QUANTITATIVE RESEARCH · ZÜRICH, SWITZERLAND

Jiajun Li

AI, computation,
and trading.

I research and develop algorithms across quantitative finance, AI, and quantum physics. For more than a decade, I’ve built high-performance software and optimized performance-critical code.

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01 / RESEARCH

Nonequilibrium physics

Correlated electrons, hidden phases, and quantum light.

02 / METHODS

Scientific computing

Many-body solvers, dynamics, and efficient simulation.

03 / ENGINEERING

Performance-aware C++

Data structures, inference, and CPU/GPU execution.

RESEARCH / SELECTED WORK

Selected publications

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ENGINEERING / OPEN SOURCE

From models to code

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01 / SYSTEMS & MACHINE LEARNING

QLeaf ↗

Low-latency tree inference

Single-row inference for large ensembles of shallow decision trees. QLeaf investigates how memory layout, CPU affinity, persistent GPU kernels, and host–device coordination affect end-to-end latency.

  • C++
  • CUDA
  • CPU / GPU
Repository ↗Benchmark methodology ↗

02 / COMPUTATIONAL PHYSICS

QuDrip ↗

Exact quantum many-body simulation

A toolbox for constructing constrained Hilbert spaces, quantum operators, and Hamiltonians. Sparse-matrix and Krylov methods support ground-state calculations, real-time evolution, and Lindblad dynamics.

  • C++
  • Eigen
  • Krylov methods
Repository ↗Related publication →

BACKGROUND

A foundation in physics.
A focus on computation.

My academic work spans quantum many-body dynamics, nonequilibrium phases, and numerical approaches to strongly correlated systems.

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