Quant research · model evidence · reliable systems

Research ideas, engineered into reliable systems.

Quantitative researcher working where mathematical modeling, machine learning evaluation, and production-aware research infrastructure meet. I care about evidence, constraints, and systems that survive contact with reality.

01

Oxford mathematical sciences

02

Statistical modeling & ML for markets

03

Research tooling with operational taste

Explore the work Start a conversation English-first, with a few Chinese side notes.

Public evidence

3 notes

research projects that can be discussed openly

Private systems

sanitized

capability cards without proprietary implementation detail

Contact surface

direct

email, LinkedIn, and CV only; no noisy form funnel

Selected work

Evidence first, details only where they can be public.

The page separates open research from professional systems work. Public projects get direct notes; private systems are kept deliberately abstract.

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Public research

open

Partial Order Ranking with SMC and Plackett–Luce Models

2023 · Partial order / Plackett–Luce

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

Partial order Plackett–Luce Sequential Monte Carlo
Read the note →

Sanitized systems

Capability without leaking the machinery.

No proprietary logic, performance numbers, integration details, or internal names. Just the shape of judgment.

Capability · abstracted

private

Research infrastructure

from data quality to model review

Workflows that connect source hygiene, signal review, model evaluation, and reproducibility checks without exposing proprietary implementation details.

data reliability reproducibility model evaluation
Abstracted by design

Capability · abstracted

private

Decision-system guardrails

constraints before cleverness

Controls that make automated decision systems easier to monitor, constrain, and reason about when conditions shift or assumptions degrade.

guardrails monitoring operational safety
Abstracted by design

Capability · abstracted

private

Evidence loops

runtime behavior back to research

Feedback paths that separate research assumptions from observed behavior, with emphasis on traceability, diagnosis, and clean post-hoc review.

observability diagnostics evidence trails
Abstracted by design

Experience

Research background with production instincts.

A quieter timeline: enough context to establish credibility, without turning the homepage into a full CV.

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.

Intern

Tencent · Internship

Mar 2020 · 1 mo

  • Assisted the development of recommendation system algorithms for social network services and data mining techniques for customer relationship management.

Contact

Useful conversations only.

Email, LinkedIn, or CV. No form, no funnel, no unnecessary surface area.

Email → best for direct notes LinkedIn → professional profile CV → download résumé