Talk at AI4AM: AI for advanced materials - Madrid, Spain (May 2026)
A generative material transformer using Wyckoff representation
Invited talk at WE-Heraeus Seminar: Machine Learning for Spectroscopy - Brussels, Belgium (May 2025)
Generative Transformer models for the dielectric function
Invited talk at CECAM Machine Learning of First Principle Observables - Berlin, Germany (July 2024)
Property predictions from limited and multi-fidelity datasets
Contributed talk at the APS March Meeting 2022 - Chicago, USA (March 2022)
Bias-imbalance in data- driven materials science: a case study on MODNet
Contributed talk at the 17th ETSF Young Researchers' Meeting - Cagliari, Italy (September 2021)
MODNet: property prediction for limited datasets and the bias-imbalance issue
Invited talk at CECAM Mixed-Gen workshop (April 2021)
Accurate and interpretable property prediction for limited materials datasets by feature selection and joint-learning
Contributed talk at the APS Online March Meeting 2021 (March 2021)
MODNet: property prediction for limited materials datasets by feature selection and joint-learning
Poster presentation at the 2020 Virtual MRS Fall Meeting (November 2020)
Machine Learning Materials Properties for Small Datasets. Symposium: Data Science and Automation to Accelerate Materials Development and Discovery