📣 News & Updates
📅 December 2026
Invited Talk at 2026 MRS Fall Meeting & Exhibit
I will be giving an invited presentation at the 2026 MRS Fall Meeting & Exhibit in Boston, as part of the symposium “AI-Driven Workflows and Autonomous Platforms for Functional Material Design and Catalysis”.
📅 March 2026
New Work Presented at ICLR 2026 AI4Mat Workshop
Our work “MatSeek: An Automated Knowledge-Driven Framework for Materials Research” has been presented at the AI4Mat Workshop at ICLR 2026. This work introduces an LLM-based framework that integrates literature-driven knowledge extraction with structured materials data to enable interpretable and efficient inverse alloy design.
📅 January 2026
Symposium Co-chair at AI for Materials Discovery Symposium
I am co-chairing a flagship symposium on AI for Materials Discovery at NTU Singapore, bringing together researchers working at the frontier of AI-driven materials innovation.
📅 November 2025
Preprint Released on arXiv
Our latest work “MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys” is now available on arXiv. This work presents a generalist ML framework integrating a curated alloy database, deep neural network predictors, constraint-aware optimization, and an iterative AI–experiment feedback loop for accelerated alloy development.
📅 September 2025
Invited Talk at 18th Pujiang Innovation Forum
I delivered an invited talk titled “Accelerating Materials Synthesis through AI: From Feasibility to Autonomy” at the AI for Materials Science Forum, part of the 18th Pujiang Innovation Forum in Shanghai. It was a great opportunity to share our vision for autonomous materials discovery with leading researchers and policymakers.
📅 July 2025
Preprint Released on arXiv
Our latest work “AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery” is now available on arXiv. This study proposes a generalizable system that integrates AI, simulations, and experiments to autonomously accelerate alloy discovery.
📅 June 2025
Co-chairing FAPS 2025 Symposium on AI and Polymer Science
I’m honored to co-chair Symposium 4: AI and Polymer Science at the 9th Biennial Polymer Congress (FAPS 2025), to be held from 1–4 December 2025 at NTU. This symposium highlights emerging research at the intersection of AI and polymer innovation. Looking forward to insightful discussions with fellow researchers and innovators this December at NTU!
📅 March 2025
Publication in Advanced Materials
Our paper “Amorphous High-entropy Phosphide Nanosheets With Multi-atom Catalytic Sites for Efficient Oxygen Evolution” has been published in the high-profile journal Advanced Materials (Impact Factor: 27.4).
📅 December 2024
Selected as AI2050 Early Career Fellow
I was honored to be selected as one of the AI2050 Early Career Fellows by Schmidt Sciences.
I’m the only Fellow from an Asian institution in the 2024 cohort and the first-ever recipient from NTU to receive this prestigious fellowship.
As one of 25 global scholars advancing AI for the benefit of humanity, I’ll join a distinguished group of researchers awarded up to US$12 million to pursue bold visions for a better future by 2050.
📅 August 2024
Awarded NTU Emerging Scientist at GLOW 2024
Recognized as one of three female NTU Emerging Scientists at GLOW 2024, the GLObal Conference for Women Leaders and Emerging Researchers in Materials Science.
📅 June 2024
Nature Communications Publication – Highly Cited
Published a key research paper on AI for Materials Science in Nature Communications (DOI: 10.1038/s41467-024-49172-6).
Now recognized as a highly cited paper, this work contributes significantly to intelligent synthesis optimization.
📅 June 2023
Named Forbes 30 Under 30 Asia – Healthcare & Science
Selected for the Forbes 30 Under 30 Asia 2023 list in the category of Healthcare and Science, for pioneering research applying machine learning to materials discovery and development.