Jan Jakob

☕️

Jan Jakob

Math & Physics Student

About Me

I’m currently a math undergraduate student at LMU Munich sharpening my skills in advanced functional analysis, group theory and scientific machine learning. Before that I graduated in physics from Heidelberg University and co-founded the legal tech start-up Silberfluss (silberfluss.io).

Interests

Scientific Computing
Quantum Technology
Software Engineering

Education

Honors Degree in Technology Management
Center for Digital Management and Technology (CDTM)
BSc Mathematics
LMU Munich
BSc Physics
Heidelberg University

Overview of my Thesis & Seminar Papers

A novel Inversion Algorithm for Weak Lensing using Quasi-Conformal Geometry

Computational Astrophysics | Weak Gravitational Lensing

A novel Inversion Algorithm for Weak Lensing using Quasi-Conformal Geometry

A novel inversion algorithm for weak lensing using quasi-conformal geometry

Jan 28, 2025

QFORMER: An Efficient Foundational PDE Model for the Time-Dependent Schr ̈odinger Equation

Scientific Machine Learning | Foundation Models for PDEs

QFORMER: An Efficient Foundational PDE Model for the Time-Dependent Schr ̈odinger Equation

QFORMER is a proposed Transformer-based deep learning model designed to solve the time-dependent Schroedinger equation by integrating multiscale operator transformers and physics-informed neural networks, aiming for scalable and accurate quantum simulations across diverse electron configurations and initial states.

Jan 4, 2025

Improved Hamiltonian Learning with Neural Differential Equations using Classical Shadows

Quantum Information Theory | Hamiltonian Learning

Improved Hamiltonian Learning with Neural Differential Equations using Classical Shadows

In this project we are going to improve the Hamiltonian Learning problem of a many-body quantum system using Neural Differential Equations and classical shadows.

Nov 4, 2024

Unitary Representations via the Orbit Method

Geometric Quantization | Group Theory

Unitary Representations via the Orbit Method

The orbit method uses coadjoint orbits to construct unitary representations of Lie groups, providing a powerful framework for understanding the connection between geometry, quantum mechanics, and harmonic analysis.

Jun 17, 2021

Overview of my Seminar Talks

Max-Flow-Min-Cut Theorem

Max-Flow-Min-Cut Theorem

A seminar talk about the max-flow-min-cut theorem in combinatorial optimization.

May 30, 2021