Assistant Professor in Maths @ Ohio State University

Before, I was at University of Michigan affiliated with MIDAS and Mathematics, working with Prof. Oleg Gnedin and Prof. Xun Huan. I did my PhD at University of Zurich, under the supervision of Prof. Rémi Abgrall and Prof. Romain Teyssier.

E-mail: hanveiga.1 at osu.edu

Office: 550 Math Tower
231 W 18th Ave
Columbus, Ohio
USA

I like to think about the following things:

• Scientific Machine Learning: constraint-aware methods, uncertainty quantification, interpretability and hybrid solvers
• Structure-preserving numerical methods for nonlinear hyperbolic PDEs
• Arbitrary high order methods for PDEs/ODEs
• Privacy in machine learning methods
• Applications of ML (astrophysics, medical AI, natural language processing)

News, conferences, travels

• 10/08/2023: I gave a mini-workshop in Probabilistic programming as part of the MIDAS summer academy.

Teaching

• 2173 Math: Engineering Maths, Fall 2023
• MATH498: Mathematical Foundations of Machine Learning Fall 2021, Spring 2022, Fall 2022. Lecture notes (v.0.0)
• MATH371: Numerical Methods for Engineering

Supervision

I am happy to supervise students for master thesis, bachelor thesis, REU or UROPs. A sample of projects:

• Impact of weak imposition of constraints in fully connected neural networks (REU, UoM)
• Federated learning approach for medical AI applications (REU, UoM)
• Speeding up planetary system composition using surrogate models (REU, UoM)
• Fooling facial recognition algorithms (Semester Project, UZH)

Short CV

Assistant Professor, The Ohio State University	2023 - now
Assistant Professor, University of Michigan	2021 - 2023
Postdoctoral Fellow, University of Michigan	2020 - 2023
PhD in Mathematics, University of Zurich	Class of 2020
MSc in Computational Science and Engineering, ETH Zurich	Class of 2015
Machine Learning Researcher, General Electric (former Alstom Power)	2014
BSc in Mathematics, Imperial College London	Class of 2012