KO Ho Tin AI research profile

AI researcher / engineering student / builder

Building AI systems with visible evidence.

LLM agents, formulaic alpha-factor mining, computer vision, and research tooling — kept in one place: live code, papers, and contact routes.

View research Live GitHub

I turn unclear technical ideas into inspectable AI systems.

Selected research

Papers, published beside the code.

Google Scholar OpenReview ~Ho_Tin_Ko2 ORCID 0009-0002-7298-8196 Loading…

Build trail

Live projects, pulled from GitHub on load.

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Public signal--
Portrait of KO Ho Tin (BlackCat), AI researcher
KO Ho Tin · BlackCat

Profile

A compact evidence layer.

I am KO Ho Tin, also known as BlackCat online — focused on LLM benchmarks, alpha-factor discovery, and practical automation. This site is who I am, what I build, where it is published, and how to reach me.

Name
KO Ho Tin
Alias
BlackCat / B143KC47
Core topics
LLM agents, quantitative AI, computer vision, evaluation

Trajectory

Recent signals from research and building.

  1. 2026

    ICLR 2026 Poster

    AlphaBench: benchmarking LLMs in formulaic alpha-factor mining.

  2. 2025

    GenAI in Finance Poster

    EvoAlpha: evolutionary alpha-factor discovery with LLMs.

  3. 2024

    City University of Hong Kong

    Research internship and AI / ML research exposure.

  4. 2024

    IEEE CIS Summer School

    Quantum computational intelligence program, Yokohama.

Contact

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

Email me GitHub LinkedIn ORCID Zhihu