AI Research Scientist at Apodex · Singapore

Bin WangRobin / 王斌

I work on what goes into AI models and how to tell if they're any good.

I currently build pretraining data infrastructure at Apodex. Before that, I built Apodex’s deep-research agent harness from scratch, and at A*STAR I led data and evaluation for MERaLiON AudioLLM.

junior researchers, students, and interns mentored
10+
publications, 3,000+ citations
60+
taken from research into real use: agents, data, audio, multilingual
4 fields
Bin Wang (Robin) · 王斌
SingaporeApodex

01 / Research into practice

Selected work.

All work

01Apodex · May 2026–present

Pretraining Data Infrastructure

Built pretraining data infrastructure from scratch and scaled it to web scale, with data quality assessment guiding what is collected.

An acquisition pipeline covering raw HTML, PDFs, and other information-rich documents, with quality scoring to guide collection.

02Apodex · May 2025–May 2026

Deep Research Agents

Built the agent harness from scratch and led its core architecture as development grew to four or five contributors. Designed multi-source verification, parallel tool use, and multi-agent coordination.

A model and workbench for complex research, alongside the open-source FrontierAgent harness.

RESEARCH & TOOL USE

agent harness, built from scratch
0 → 1
FrontierAgent harness
Open source

03I²R, A*STAR · 2023–2025

MERaLiON AudioLLM

Led data preparation and evaluation, and co-led model training within a six-person team at A*STAR I²R.

MERaLiON AudioLLM, presented at ACL 2025 System Demonstrations, as part of Singapore’s National Multimodal LLM Programme.

AUDIO-LANGUAGE MODELS

System Demonstrations
ACL 2025
across 8 tasks in AudioBench, led alongside
26 datasets

03 / A conversation

Ask Robin.

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News
  • 2026.08Contributed to Apodex 1.1, released for complex research tasks.
  • 2026.06Released Apodex-1.0.
  • 2026.05Shifted my focus at Apodex to large-scale pretraining data acquisition and quality.