🎉 Thrilled to announce 2 paper acceptances!
MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification at NeurIPS 2026,
and Graph Matching Relaxations and Amortization for Supervised Graph Prediction at NeurIPS 2026 GDDL Workshop!
I'm attending the AI+Science Summer School 2026 at the University of Chicago, and presenting our work Learning to Emulate Chaos.
🎉 Thrilled to announce 3 paper acceptances!
Learning to Emulate Chaos: Adversarial Optimal Transport Regularization at ICML 2026,
Lightweight Alignment of Unimodal Foundation Models for Metabolite Identification at ICML 2026 FM4LS Workshop,
and Conformal Graph Prediction with Z-Gromov Wasserstein Distances at UAI 2026!
I'm attending Spring into Quant Finance 2026, a competitive quantitative finance residential programme by G-Research.
I'm attending and presenting our work GRALE at the AI Across Scales 2026 programme at the University of Cambridge.
Honored to receive the G-Research Grant for October 2025!
🎉 Thrilled to announce that our paper The quest for the GRAph Level autoEncoder - GRALE has been accepted at NeurIPS 2025!
Excited to share that I'm joining University of Cambridge as a visiting researcher in the Department of Applied Mathematics and Theoretical Physics. I'm participating in the Isaac Newton Institute's programme on Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning.
I've just started my PhD on Machine Learning!