معرفی
Yogesh Verma is a doctoral researcher at Aalto University's Department of Computer Science, specializing in machine learning and computational data analysis. His work bridges theoretical advancements with practical applications in molecular generation, climate forecasting, and topological modeling.
- Areas of expertise: Computer and information sciences, Computational data analysis
Research interests: Focus on physics-informed neural ODEs for climate modeling, graph generation with diffusion models, topological neural networks, and ab initio antibody design. His interdisciplinary approach connects machine learning with computational biology and scientific computing.
Scientific awards:
- Nokia Scholarship for doctoral studies in ICT-related fields
Key publications appear in leading venues like ICLR and NeurIPS, spanning topics from molecular design to climate forecasting. Collaborators include Vikas Garg, Markus Heinonen, and Giangiacomo Mercatali.
