Clemens Wager, MSc

About me

Questions in natural sciences become increasingly complex and require powerful tools to find answers. I realized this during my bachelor's degree of Biology at the University of Vienna (2016 - 2020). So, I wanted to enhance my broad knowledge of natural sciences with computer science and mathematics. Hence, I decided to study the master's degree of Computational Science at the University of Vienna (2020 - 2024). Besides learning methods for Data Analysis and Scientific Computing during this master's program, my main interests include Machine Learning, Simulations and Modeling. Continuing my academic eduction I pursue a doctor's degree in natural sciences in the field of Physics at University of Vienna.

My Research

Currently, I am researching in the field of micromagnetism funded by MagLearn Project (CD-Laboratory for physics informed machine learning). My work focusses on computational material design for permanent magnets through physics informed machine learning.
My research interests also include advanced optimization techniques, particularly to work on multi-objective problems associated with permanent magnet design. I am dedicated to study novel chemical compositions of permanent magnetic materials that reduce rare earth content contributing to building more sustainable green energy technologies.
While working on my master thesis I have explored the effectiveness of active learning schemes as a method for minimizing computationally expensive objective functions, comparing its performance against traditional optimization algorithms. My work has involved creating a modular Python framework to conduct comprehensive experiments.

Selection of Coding Projects

Optical NOx Sensor Device
 Hazardous gas detection with Raspberry Pi

Cloud Storage Backup Service
 Well logged and documented service for Linux

Agent-based Model of Locusts
 NetLogo model with behavioral phase change

SIR-model for Covid-19
 Pandemic model (Austria, 2021)

Bird Image Classifier
Classification with a Convolutional Neural Network

Trajectory Prediction
Prediction of missing data from a dataset

Database Interface Web-App
 Combining SQL, NoSQL and cloud-based DBs

Satellite Orbit Simulation
 Simulation of a satellite's trajectory around the sun

Driven Pendulum Simulation
 Simulation of a harmonically driven pendulum