Lucas Hsu.
Econometrics & OR / Computer Science & Engineering

Lucas
Hsu

I build tested data tools for markets — and I compete in them.

Selected work

01

Market-data operations toolkit

Classifies vendor and exchange notices, resolves everything they touch through a typed dependency graph, and routes each one for review with an explicit confidence and escalation rule — then scores its own output rather than assuming it. Live, interactive demo over a synthetic estate.

D3 v7 · single-file web app · synthetic dataset
Measured results
priority accuracy0.80
notices evaluated5
estate modelled46 nodes · 69 edges
02

IMC Prosperity 4 — global trading competition

Built and tested strategies across market making, order-book microstructure, time-series analysis, backtesting, and game-theoretical decision-making, over a multi-round global event.

Python · backtesting · microstructure · game theory
Result
Top 1.3%
#242 / 18,803 teams · #10 in NL
03

Fullhouse poker AI — international championship

An adaptive bot for 6-max no-limit hold’em, evaluated across 10M+ simulated hands, 100+ agent variants, and 30+ custom opponent models.

Python · simulation · opponent modelling
Result
5th
international · 6-max NLHE
04

Astronomy data project — national informatics competition

Analysed Milky Way stellar structure with Gaia DR3 and ADQL under PhD mentorship, as a high-school computer-science research project.

Python · Gaia DR3 · ADQL
Result
2nd
nationwide · Netherlands