AI researcher / engineering student / builder

KO Ho Tin builds AI systems with visible evidence.

I work across LLM agents, formulaic alpha factor mining, computer vision, and research tooling. This site keeps the important signals in one place: live code, papers, profiles, and contact routes.

Avatar for KO Ho Tin
Current signal Research + shipped systems
Focus LLM agents
Research Quant AI
Evidence OpenReview
Build trail GitHub

Personal information

A compact profile for research, engineering, and collaboration.

I am KO Ho Tin, also known as BlackCat online. My work is centered on turning unclear technical ideas into inspectable AI systems, with a recent emphasis on LLM benchmarks, alpha factor discovery, and practical automation workflows.

The priority of this site is not decoration. It is a clean evidence layer: who I am, what I build, where the work is published, and how to reach me.

Name
KO Ho Tin
Alias
BlackCat / B143KC47
Email
s20200057@ylmass.edu.hk
Core topics
LLM agents, quantitative AI, computer vision, evaluation

Auto GitHub fetch

Projects are pulled from GitHub when the page loads.

The site fetches public repositories for @B143KC47, caches them briefly in the browser, and falls back to a profile link if the API is unavailable.

Repository source GitHub API
Last sync Fetching…
Public signal --

Scholar + OpenReview

Academic profiles and publications stay visible beside the code.

Publication feed

OpenReview papers

Loading local data…

Timeline

Recent signals from research, training, and building.

2026

ICLR 2026 Poster

AlphaBench: benchmarking large language models in formulaic alpha factor mining.

2025

GenAI in Finance Poster

EvoAlpha: evolutionary alpha factor discovery with large language models.

2024

City University of Hong Kong

Research internship and AI / machine learning research exposure.

2024

IEEE CIS Summer School

Quantum computational intelligence program in Yokohama.

Contact

For research, AI systems, or collaboration, reach out directly.