Profile
During my undergraduate studies, I was interested in theoretical physics and hence acquired a broad set of mathematical and numerical skills. Then I became fascinated with modern inference and machine learning methods, which I used to estimate parameters from gravitational wave signals during my master studies. Knowledge about these widely applicable tools allowed me to switch to medical physics in Prof. Unkelbach's group afterwards. Here, I am motivated by the potential impact of working to improve cancer therapy, as well as the statistical challenges that arise from real clinical data.
education
Dr. sc. nat in Physics
2019 - 2022
University of Zurich
Zurich, Switzerland
Modelling Lymphatic Metastatic Progression in Head and Neck Cancer
Supervisor: Prof. Jan Unkelbach
Supervisor: Prof. Jan Unkelbach
MSc in Physics
(1.3)
2017 - 2019
University of Tübingen
Tübingen, Germany
Wavelet Analysis of Neutron Star Ringdowns via MCMC
Supervisor: Prof. Kostas Kokkotas
Supervisor: Prof. Kostas Kokkotas
Exchange Semester
08/2015 - 02/2016
National Tsing Hua University
Hsinchu, Taiwan
BSc in Physics
(1.9)
2012 - 2017
University of Tübingen
Tübingen, Germany
Modelling Attraction in Colloidal Suspensions via Ideal Polymers
Supervisor: Prof. Roland Roth
Supervisor: Prof. Roland Roth
Abitur
(1.5)
2012
Eduard-Spranger-Gymnasium
Filderstadt, Germany
experience
PostDoc
03/2023 - Present
University of Zurich
Zurich, Switzerland
Research on a project to personalize the elective clinical target volume
definition in radiotherapy for head and neck cancer patients. This includes
collecting, sharing, and visualizing data on lymphatic involvement patterns of
head and neck cancer patients (see
LyProX for
more information), as well as using the data to build probabilisitc models to
predict lymphatic tumor progression.
Research Assistant
11/2017 - 07/2019
Max-Planck-Institute for Intelligent Systems
Tübingen, Germany
Development, improvement and upkeep of soft- and hardware of a swarm of
micro aerial vehicles (MAVs) cooperatively performing localisation and
deep learning based motion capturing of persons or animals.
Intern Automotive Aftermarket
04/2017 - 07/2017
Robert Bosch GmbH
Plochingen, Germany
Design, set-up and evaluation of Advanced Driver Assistance Systems (ADAS)
calibration prototypes in an international team of engineers.
publications
R. Ludwig,
J. Hoffmann,
B. Pouymayou,
G. Morand,
M. Broglie Däppen,
M. Guckenberger,
V. Gregoire,
P. Belermpas,
J. Unkelback,
A dataset on patient-individual lymph node involvement in oropharyngeal squamous cell carcinoma
Data in Brief
(2022)
R. Ludwig,
J. Hoffmann,
B. Pouymayou,
G. Morand,
M. Broglie Däppen,
M. Guckenberger,
V. Gregoire,
P. Belermpas,
J. Unkelback,
Detailed patient-individual reporting of lymph node involvement in oropharyngeal squamous cell carcinoma with an online interface
Radiotherapy and Oncology
(2022)
R. Ludwig,
B. Pouymayou,
P. Balermpas,
J. Unkelbach,
A hidden Markov model for lymphatic tumor progression in the head and neck
Scientific Reports
(2021)
M. Mayinger,
R. Ludwig,
S. Christ,
R. Dal Bello,
A. Ryu,
N. Weitkamp,
M. Pavic,
H. Schüler,
L. Wilke,
M. Guckenberger,
Benefit of replanning in MR-guided online adaptive radiation therapy in the treatment of liver metastasis
Radiation Oncology
(2021)
J. Unkelbach,
T. Bortfeld,
C. Cardenas,
V. Gregoire,
W. Hager,
B. Heijmen,
R. Jeraj,
S. Korreman,
R. Ludwig,
B. Pouymayou,
The role of computational methods for automating and improving clinical target volume definition
Radiotherapy and Oncology
(2020)
R. Tallamraju,
E. Price,
R. Ludwig,
K. Karlapalem,
H. Bülthoff,
M. Black,
A. Ahmad,
Active perception based formation control for multiple aerial vehicles
IEEE Robotics and Automation Letters
(2019)
E. Price,
G. Lawless,
R. Ludwig,
I. Martinovic,
H. Bülthoff,
M. Black,
A. Ahmad,
Deep neural network-based cooperative visual tracking through multiple micro aerial vehicles
IEEE Robotics and Automation Letters
(2018)