Felix M. Riese

Felix M. Riese

Data Scientist

OmicEra Diagnostics

Hey, I am Felix.

I am a physicist with a Ph.D. in remote sensing & artificial intelligence (AI), and an MBA. My passion is technology, my mission is changing the world to the better with the help of AI and first-principles thinking. Currently, I am working at OmicEra Diagnostics, a leading proteomics start-up in Munich.

Reach out to me via e-mail or LinkedIn.

Interests
  • Data Science & Artificial Intelligence
  • Life Sciences & Health Diagnostics
  • Remote Sensing
  • Startups & Entrepreneurship
  • Fitness & Strength Training
  • 10k Runs & Multi-Day Hikes
Education

  • MBA, 2021

    Collège des Ingénieurs

  • Ph.D. in Remote Sensing and AI, 2020

    Karlsruhe Institute of Technology

  • M.Sc. in Particle Physics, 2017

    Karlsruhe Institute of Technology

  • B.Sc. in Physics, 2014

    Karlsruhe Institute of Technology

Experience

More details on LinkedIn

 
 
 
 
 
Data Scientist
OmicEra Diagnostics
Feb 2021 – Present Munich (DE)
 
 
 
 
 
MBA Consultant | Digital Biomarkers
Roche
Jul 2020 – Jan 2021 Basel (CH)
Pharma Research and Early Development (pRED) Informatics - Digital Biomarker. Main tasks: Management Consulting, Change Management, Data Analysis, Project Management
 
 
 
 
 
Consultant | Data Science, AI, and Computer Vision
Dr. Felix M. Riese – Scientific Consultant
Feb 2020 – Jan 2021 Karlsruhe (DE)
Freelancing consultant for Data Science, AI, and Computer Vision.
 
 
 
 
 
Data Science Intern
FluroSat
Sep 2019 – Dec 2019 Sydney (AU)
Design and implementation of crop type classifier based on satellite images in Python; developed parallelized software on Google Cloud.
 
 
 
 
 
Researcher & Ph.D. Candidate | AI & Remote Sensing
Karlsruhe Institute of Technology
May 2017 – Jun 2020 Karlsruhe (DE)
Development of unsupervised, supervised, and semi-supervised machine learning tools; research in the estimation of soil moisture, soil type, water quality parameters, and land-use; data acquisition with hyperspectral camera, DJI drones, and multiple other sensor systems.
 
 
 
 
 
University Lecturer
DHBW Karlsruhe
Jan 2016 – May 2018 Karlsruhe (DE)
Lectures and exams for linear algebra, analysis, statistics, and knowledge-based systems.

Projects

Personal and professional projects, see also GitHub

*
All active archived
AI in Healthcare

AI in Healthcare

Artificial intelligence (AI) algorithms, platforms, and tools in healthcare.

Deep Learning for Remote Sensing

Deep Learning for Remote Sensing

Development of deep learning methods for remote sensing applications.

SUSI

SUSI

Development of supervised self-organizing maps (SUSI) for regression and classification.

Trust Project

Trust Project

Sustainable drinking water supply for prosperous regions with water shortage.

Video
Mathematics lectures

Mathematics lectures

Lectures about linear algebra, analysis, statistics and knowledge-based systems at the DHBW Karlsruhe.

KAMUN 2016

KAMUN 2016

I was conference manager at the Karlsruhe Model United Nations (KAMUN) conference 2016.

Publications

Articles, book chapters, and datasets as listed on GoogleScholar

Integrated Water Management Solutions in the Lurín Catchment, Lima, Peru – Supporting United Nations’ Sustainable Development Goal 6. Final report of the joint project TRUST
Final report of the joint project TRUST “Sustainable, fair and environmentally sound drinking water supply for prosperous regions with …
Jan Bondy, Friederike Brauer, Jaime Cardona, Johannes Chamorro, Thilo Fischer, Lucia Hahne, Stefan Hinz, Michael Hügler, Christian D. León, Sina Keller, Hannah Kosow, Hanna Kramer, Manuel Krauss, Ralf Minke, Fabienne Minn, Felix M. Riese, Samuel Schroers, Stefan Stauder, Sebastian Sturm, Stephan Wasielewski, Jan Wienhöfer, Yvonne Zahumensky
PDF Cite Project
Integrated Water Management Solutions in the Lurín Catchment, Lima, Peru – Supporting United Nations’ Sustainable Development Goal 6. Final report of the joint project TRUST
Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
Biomarkers are of central importance for assessing the health state and to guide medical interventions and their efficacy, but they are …
Furkan M. Torun, Sebastian Virreira Winter, Sophia Doll, Felix M. Riese, Artem Vorobyev, Johannes B. Mueller-Reif, Philipp E. Geyer, Maximilian T. Strauss
PDF Cite Code Project DOI
Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
Deep Learning for Land Cover Change Detection
Land cover and its change are crucial for many environmental applications. This study focuses on the land cover classification and …
Oliver Sefrin, Felix M. Riese, Sina Keller
PDF Cite Code Project DOI
Deep Learning for Land Cover Change Detection
See all publications

Featured Talks

Talks, workshops, and other media

Hyperspectral Estimation Framework: Selected Applications of Machine Learning
Presentation at the Karlsruhe Institute of Technology (KIT) as status update of my current Ph.D. studies.
Feb 6, 2020 00:00 Karlsruhe (DE)
Felix M. Riese
Project
Hyperspectral Estimation Framework: Selected Applications of Machine Learning
Radio interview about 'Künstliche Intelligenz - Trinkwassersuche mit Satelliten und KI'
Radio interview by Anna Caroline Hein about the work of Felix M. Riese and Sina Keller in the field of artificial intelligence and satellite remote sensing for drinking water.
Oct 2, 2019 Karlsruhe (DE)
Felix M. Riese, Sina Keller
Interview
Radio interview about 'Künstliche Intelligenz - Trinkwassersuche mit Satelliten und KI'
Video about 'Künstliche Intelligenz in der Umweltforschung'
Video about the Trust project funded by BMBF and about my PhD in artificial intelligence, remote sensing and environmental science.
Aug 8, 2019 Karlsruhe (DE)
Felix M. Riese
PDF Video
Video about 'Künstliche Intelligenz in der Umweltforschung'
See all events