Professional / Academic Experience

Master Thesis

Deep Learning for Korali – implement, improve, verify and benchmark a deep learning framework for Korali

CuDNN
Deep Learning
Distributed Computing
OneDNN
Pytorch
TensorFlow
TA CSCS-USI Summer School

CSCS-USI Summer School since 2020 on Effective High-Performance Computing & Data Analytics with GPUs

Covering GPU architectures
Distributed Deep Learning on HPC platforms with horovod (TensorFlow)
Machine Learning and GPU optimezed frameworks (Rapids)
Performance optimization and scientific libraries
Python HPC libraries (SciPy/Dask/Numba)
Semester Project

GPU accelerated next generation approximate Bayesian inference using R-INLA

Asynchronous Computing
GPU Acceleration
LU-Factorization
nvprof
TA HPC Lab

Student teaching assistant for the High Performance Computing Lab for CSE covering state-of-the-art HPC systems, scientific mathematical libraries and a special focus on CSE

HPC Libraries
MPI
OpenMP
TA Programming Techniques for Sientific Simulations I

Programming Techniques for Sientific Simulations I on basic and advanced C++programming techniques and sientific software libraries.

Classes
Git Version Control
Generic Programming
Templates
Template Meta Programming
Full-Stack-Development

Programming of a hybrid Poc mobile banking app solution. Integrating APIs (provided by Capital Banking Solutions) and implementing services s.a. authentication, favorites, QR-scanner and more.

CSS
git
HTML
Javascript
LAMP
LIT-Element
npm
Polymer 3
SCRUM
TFS
Back-end Web Development - part time

Programming an automation tool for creating customized pdf offers using MuPDF.

Linux
PHP
Zend Framework 2

Publications

D.Sevin, Staehlin, Pollak, Georg R., A. Kuehne and U.Sauer, Global Metabolic Responses to Salt Stress in fifteen Species, PLOS ONE, 11 (2016), pp. 1-21.

Education

Harvard SEAS

Research Fellow CSE-LAB – Learning the effective dynamics of complex systems

Master Studies

With a focus on High Performance Computing, Machine Learning and Deep Learning

Bachelor's Degree - CSE

With a focus on Numerical Methods and Machine Learning

Bachelor's Studies

Interdisciplinary Science Biochem. Physics

Relevant Coursework

Algorithms and Programming in C++ / How To Write Fast Numerical Code / Financial Market Risks / Deep Learning Information Systems For Engineers(Database, SQL, Relational Databases) / Numerical Methods For PDEs / Computer Engineering II (Operating systems, Computer Architecture, …) / Continuous Time Quantitative Finance / Programming Techniques For Sientific Simulations I / Advanced Numerical Methods For CSE / Software Design / Data Mining: Learning From Large Data Sets / Probabilistic Artificial Intelligence / Introduction To Machine Learning / High Performance Computing For Science And Engineering I/II / Information Retrieval / Numerical Methods CSE

ADDITIONAL EXPERIENCES

Advanced C++ with Focus on Software Engineering

Advanced course on writing mature, robust, maintainable, high-quality C++ code by using different design strategies and the philosophy of “Modern C++”.

SINAFE
Move Semantics
C++ Standard Library
Effective High-Performance Computing & Data Analytics with GPUs

Exploitation of state-of-the-art hybrid High-Performance Computing (using Piz Daint Supercomputer) systems with a special focus on Data Analytics.

CUDA
MPI
OpenACC
OpenMP
Rapids
TensorFlow
Molecular Biology Internship

Clinical institute for medical and chemical laboratory diagnostics.

LANGUAGES

German – native English – proficient French – good command Spanish – beginner

HOBBIES

Triathlon Climbing crossfit/ Functional Chess/ Boardgames