AI4X Rising Star Award 2026 Winners

Assistant Professor Andy Sode Anker
đŸ„‡ First Prize

Assistant Professor Andy Sode Anker

DTU Energy & DTU Compute, Technical University of Denmark

A tenure-track faculty member at DTU, Andy has earned global recognition including Inflection and Forbes 30 Under 30, alongside significant research funding and leadership roles in publishing and large-scale facilities. His work—spanning generative AI, autonomous robotic synthesis, and advanced scattering analysis—is shaping the future of materials discovery.

Runners-Up & Finalists

Assistant Professor Yeonghun Kang
đŸ„ˆ Runner-Up

Assistant Professor Yeonghun Kang

SungKyunKwan University; U. Toronto & Vector Institute

Yeonghun has authored three highly cited first or co-first papers in Nature Machine Intelligence, Nature Communications, and JACS. His work on metal–organic frameworks span multi-modal transformers, LLM-based prediction and generation, and automated database construction. Now an Assistant Professor at SKKU, Yeonghun is rapidly advancing the frontiers of AI in materials science.

Junseok Moon
đŸ„ˆ Runner-Up

Junseok Moon

PhD candidate, Seoul National University

Junseok Moon is a PhD candidate at Seoul National University focused on electrocatalysis for clean-energy applications. He is the sole first author of a 2024 Nature Materials paper on closed-loop active-learning discovery of a high-performance perovskite OER catalyst, with a second Nature Materials paper accepted as co-first author. His work has also received national recognition.

Dr. Kiran Vaddi
Finalist

Dr. Kiran Vaddi

International Research Associate, NIST

Kiran leads a research program in autonomous experimentation for soft and colloidal matter, including functional data representations of spectroscopy and scattering data with application in differentiable phase mapping and active learning for self-driving laboratories. He serves as PI on a $250K project developing AI agents for stable biotherapeutic formulations.

Dr. Naruki Yoshikawa
Finalist

Dr. Naruki Yoshikawa

Senior Researcher, NIMS

Naruki has a distinctive profile in the self-driving laboratories community, contributing to widely cited work on LLMs for chemical robotics, open-source orchestration platforms such as NIMO and IvoryOS, and review articles in Chemical Reviews, Digital Discovery, and Science Robotics. He currently leads development of the NIMO orchestrator at NIMS.