Nova Ignis
中文

Research and tooling in one team; nothing stated without evidence.

We work on AI and education, multi-agent intelligence and collaboration, AI and biological sciences, and applied AI in engineering.

See projects and results Meet the team

Nova Ignis sculpture: suspended curved golden blades evoking the fire of a new star
New star fire, plate 1
Two golden blades open left and right and nearly meet at the bottom, with several flame-like folds rising between them
New star fire, plate 2
Close-up of a wide golden blade curling upward, with flame-like folds layered behind it
New star fire, plate 3
Tight close-up: a single golden blade fills the frame, its surface covered in fine brushed striations
New star fire, plate 4

Who we are

Nova Ignis is a small research team that stands for novelty, curiosity, and exploration. We do research that demands rigor and write code that demands stability.

Research

01 2 subareas Artificial Intelligence & Education We explore the intersection of AI and education through two complementary perspectives: using AI to support learning tools and educational assessment, and investigating how generative AI affects evaluation, text authenticity, and educational practices. Our empirical and technical work emphasizes reliability, scalability, and practical value. View all 02 2 subareas Multi-Agent Intelligence & Collaboration This area examines AI-agent collaboration, tool use, and complex task execution, exploring how structured workflows, development tools, and application systems improve practical agent capabilities. Publicly available tools are organized by their research and application context rather than placed in a separate open-source category. View all 03 2 subareas AI & Biological Sciences Our work explores the two-way relationship between AI and the biological sciences, including machine learning applications in genomics, neuroscience, and biomedical data, as well as computational ideas inspired by biological systems. We emphasize scientific questions, appropriate computational methods, and evidence-based evaluation. View all 04 2 subareas Applied AI & Engineering We explore applications of AI to engineering science, materials design, and practical technical challenges. In sustainable concrete research, we integrate experimental data, machine learning, and environmental assessment to investigate the relationships among material composition, mechanical performance, and embodied carbon, and to support data-driven decisions under engineering constraints. View all

Facts and outputs

  • Members

    2

  • Completed projects

    8

  • Papers

    7

Projects

Publications

People and collaboration

  • Haowei (Jack) Hua

    Co-Founder & Research Lead

    Focuses on interdisciplinary research, scientific inquiry, and innovation-driven project development while contributing to technical architecture discussions, system design, and engineering decisions. He works collaboratively to connect scientific ideas with practical development.

    Neuroscience, Princeton University

    Website Scholar Email

  • Chunlin Zhu

    Co-Founder & Technology Lead

    Focuses on technical architecture, AI systems, and engineering development while contributing to research discussions, experimental design, and innovation planning. He integrates engineering expertise with scientific exploration to advance interdisciplinary work.

    GitHub

Published in

  • Next Research
  • Frontiers in Artificial Intelligence
  • Psychometric Society
  • arXiv

How we work

  • Intelligence must be evaluated. Technology must be tested.

    We value research claims grounded in evaluation and technologies tested in practice.

  • Research needs capable tools; tools need rigorous research.

    Research and engineering inform each other through continuous reciprocal feedback.

  • Build for real use. Validate before sharing.

    We prioritize practical usability and lasting engineering quality.

  • Share research and code openly whenever appropriate.

    We embrace openness while respecting publication timelines, collaboration agreements, privacy, and intellectual property.

For collaboration, joining, or feedback, just write to us.

Your name and background matter more than your wording.

Write to us contact@nova-ignis.com

  • Email

    contact@nova-ignis.com

  • GitHub

    github.com/zhu1090093659

  • Openings

    We welcome peers who have built something of their own.