Quant Research · Systems · Risk

From models to production systems.

Quantitative researcher working across mathematical modeling, machine learning pipelines, model evaluation, and production-aware research infrastructure.

Oxford mathematical sciences Statistical modeling & ML for markets Research infrastructure & production reliability
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Selected work

Public research and carefully abstracted systems work.

Public projects are described directly. Professional systems work is intentionally sanitized to preserve confidentiality.

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Public research

Partial Order Ranking with SMC and Plackett–Luce Models

Ranking estimation under partial observations and time-varying order structure.

Partial order Plackett–Luce Sequential Monte Carlo

Public research

Dynamic Network Evolution and Triadic Closure

Modeling evolving social networks, from triadic closure to block-structured communities.

Network science Triadic closure Mean-field theory

Public research

Improvements for Nonlinear Filtering Algorithms

Sequential Monte Carlo, Gaussian processes, and online hyperparameter inference for noisy streaming data.

Sequential Monte Carlo Gaussian processes Bayesian inference

Capability · abstracted

Research Infrastructure

Research workflows that connect data quality, signal generation, model evaluation, and production-readiness checks. Designed for reproducibility without exposing proprietary details.

data reliability reproducibility model evaluation

Capability · abstracted

Risk Controls

Production-aware controls that make automated decision systems easier to monitor, constrain, and reason about under changing conditions.

guardrails monitoring operational safety

Capability · abstracted

Production Observability

Feedback loops around deployed system behavior. Emphasis on traceability, diagnosis, and clean separation between research assumptions and runtime evidence.

observability diagnostics evidence trails

Experience

Research background with production instincts.

A concise version of the old CV timeline, rewritten to avoid template bloat and confidential specifics.

Quantitative Researcher

Grow Asset Management Limited · Hong Kong

2023 — Present

  • Develop research workflows for systematic decision-making using statistical modeling and machine learning.
  • Build data and model evaluation pipelines with an emphasis on reliability, reproducibility, and risk controls.
  • Translate research ideas into production-aware systems while keeping sensitive professional details private.

Quantitative Research Analyst, Financial Engineering Department

China Great Wall Securities · Shanghai

2021

  • Researched market timing and fund allocation questions using statistical similarity and persistence signals.
  • Produced weekly market reports and supporting analysis across equity indices, futures, and exchange-rate data.

Data Analyst, Data Analysis Department

Shanghai LongYun Media Group · Shanghai

2020

  • Worked on data collection, database-backed visualization, and customer insight analysis.
  • Built internal data workflows for web crawling, cleaning, and reporting.

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