CV

Researcher

Lund University

• SciML for stochastic dynamical systems.

Student Researcher

Technical University of Munich

• Full waveform inversion using Neural Operators.

Student Researcher

Technical University of Munich

• Multifidelity Gaussian Process surrogates.

Associate Software Engineer

Robert Bosch Engineering and Business Solutions.

• Systems simulation
• Product design

Student Researcher

Forschungszentrum Juelich

• High performace tensor network contraction with TCL.

Doctoral candidate in Mathematical Statistics

Lund University

• Advanced Probability Theory, Stochastic Processes.
• Numerical analysis for high dimensional PDEs.
• Uncertainity quantification.

Master of Science in Computational Science and Engineering (1.4/1.0)

Technical University of Munich

• Numerical Analysis and Scientific Computing.
• Dynamical Systems and Machine Learning.
• Quantum Information and Tensor Networks.

Autumn School on Scientifc Machine learning

Centrum Wiskunde & Informatica (CWI), Universiteit van Amsterdam

• Closure models.
• Model order reduction, Operator inference.
• Sparse regression, Systems identification.
• Neural fields, Equivariant/Invariant neural networks.
• Neural ODEs, Adjoint methods, Automatic-differentiation.

Summer School on Density Functional Theory

Sorbonne Université, Paris

• Numerical Methods in DFT
• Convergence and error bounds
• Differentiable and scalable softwares

Bachelor of Science in Mechanical Engineering (1.7/1.0)

Government College of Technology, Coimbatore

• Metallurgical Physics.
• Continuum Mechanics.
• Design of Machine Elements and Product Design.

OrdinaryDiffEq.jl

• High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

LinearPDEs

• A collection of 2D linear PDEs for Scientific Machine learning.

SIAM Munich Chapter

Technical University of Munich

• Principal Founding member.