STEM Showcase Exhibition
Invited exhibition, Innovation Spotlight: Japan, Boston, MA, USA
Invited exhibition at the STEM showcase presented by the Consul General of Japan in Boston and the Museum of Science.
Talks and presentations
Accelerating Quantum Material Discovery with Machine Learning: From Property Prediction to Materials Design
Invited talk, UMass Boston Physics Colloquium, Boston, MA, USA
Invited talk on accelerating quantum material discovery with machine learning, from property prediction to materials design.
Generative AI for Physics: From Models to Materials
Tutorial, APS Global Physics Summit 2026, Denver, CO, USA
Tutorial session on generative AI for physics, from models to materials.
Structural Constraint Integration in a Generative Model for the Discovery of Quantum Materials
Talk, APS Global Physics Summit 2026, Denver, CO, USA
Oral presentation on structural constraint integration in a generative model for the discovery of quantum materials.
Advancing Quantum Material Discovery with Geometric Machine Learning
Invited talk, Laboratory of Atomic and Solid State Physics (LASSP) Quantum Theory Seminar, Cornell University, Ithaca, NY, USA
Invited talk on advancing quantum material discovery with geometric machine learning.
Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates
Invited Talk, IMRC 2025 MRS/SMM Student Poster Award Exchange Program, Cancún, Mexico
Presentation on structural constraint integration in generative models for quantum material discovery, focusing on advanced machine learning approaches for materials prediction.
Advancing Quantum Material Discovery through Structural Constraint Integration in Generative Models
Graduate Student Award Talk, 2025 MRS Spring Meeting, Seattle, WA, USA
Graduate Student Award Talk and Poster presentation on advancing quantum material discovery through structural constraint integration in generative models.
Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates
Oral, 2024 MRS Fall Meeting, Boston, MA, USA
Oral presentation on structural constraint integration in generative models for quantum material discovery at the MRS Fall Meeting.
Large Language Model-Guided Prediction Toward Quantum Materials Synthesis
Oral, 2024 MRS Fall Meeting, Boston, MA, USA
Oral presentation on large language model-guided prediction approaches for quantum materials synthesis.
Machine-learning assisted study of quantum material properties and quantum material discovery
Invited Talk, Northeast Quantum Forum 2024, Durham, NH, USA
Invited talk on machine learning approaches for studying quantum material properties and quantum material discovery.
Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates
Invited Talk, Quantum Materials for Emergent Applications in Quantum Science, Telluride, CO, USA
Invited talk on structural constraint integration in generative models for quantum material discovery at the Quantum Materials for Emergent Applications conference.
Virtual Node Augmented Machine Learning for Material Property Prediction
Poster, 2024 ACS Spring Meeting, New Orleans, LA, USA
Poster presentation on virtual node augmented machine learning approaches for material property prediction.
Advancing Quantum Material Discovery through Structural Constraint Integration in Generative Models
Oral, Competing Orders in Quantum Materials, New Haven, CT, USA
Oral presentation on advancing quantum material discovery through structural constraint integration in generative models at the Competing Orders in Quantum Materials conference.
Virtual Node Augmented Machine Learning for Material Property Prediction
Poster, 2023 MRS Spring Meeting, San Francisco, CA, USA
Poster presentation on virtual node augmented machine learning for material property prediction at the MRS Spring Meeting.
Machine Learning Gamma Phonons from Atomic Coordinates
Poster, 2022 MRS Fall Meeting, Boston, MA, USA
Poster presentation on machine learning approaches for predicting gamma phonons from atomic coordinates.
Application of Radiation Detection Materials for Radiation Mapping with Machine Learning
Oral, 2022 MRS Spring Meeting, Online
Oral presentation on the application of radiation detection materials for radiation mapping using machine learning techniques.
Theoretical explanation of new solvent suppression scheme with adiabatic pulse and application for solid-state NMR experiments
Poster, 22nd International Society of Magnetic Resonance Conference, Online
Poster presentation on theoretical explanation of new solvent suppression scheme with adiabatic pulse and its application for solid-state NMR experiments.
Development of Suppression Pulse with Adiabatic Pulse and Application for Biological Solid-State NMR
Poster, The 59th Annual Meeting of the NMR Society of Japan, Gunma, Japan
Poster presentation on the development of suppression pulse with adiabatic pulse and its application for biological solid-state NMR experiments.
Development of Suppression Pulse with Adiabatic Pulse for Solid-State NMR Experiment
Poster, The 58th Annual Meeting of the NMR Society of Japan, Kanagawa, Japan
Poster presentation on the development of suppression pulse with adiabatic pulse for solid-state NMR experiments.