Lucas Stoffl

Postdoc, Weill Cornell Medicine, Cornell University
Joined
November 2022

Names

Lucas Stoffl (Preferred)

Emails

****@epfl.ch (Confirmed)
, 
****@med.cornell.edu (Confirmed)

Personal Links

Career & Education History

Postdoc
Weill Cornell Medicine, Cornell University (med.cornell.edu)
2025 – Present
PhD student
EPFL - EPF Lausanne (epfl.ch)
2020 – 2025
Intern
Naver Labs Europe (naverlabs.com)
2024 – 2024
MS student
Technische Universität München (tum.de)
2017 – 2020
Intern
Columbia University (columbia.edu)
2019 – 2019
Intern
University of Manchester (cs.manchester.ac.uk)
2018 – 2018
Intern
University of Waterloo (uwaterloo.ca)
2018 – 2018
Undergrad student
Department of Informatics, Technische Universität München (in.tum.de)
2013 – 2017
Intern
University of Roma "La Sapienza" (uniroma1.it)
2015 – 2016

Advisors, Relations & Conflicts

Postdoc Advisor
Johannes C. Paetzold
2025 – Present
Coauthor
Mu Zhou
2021 – Present
PhD Advisor
Alexander Mathis
2020 – Present
Coworker
Mackenzie Mathis
2020 – Present

Expertise

medical imaging
, 
LLMs
, 
agents
2025 – Present
3D reconstruction
, 
SLAM
, 
pose tracking
2024 – Present
pose estimation
, 
tracking
, 
action recognition/segmentation
2020 – Present
self-supervised learning
, 
multi-modal learning
, 
representation learning
2020 – Present
deep learning
, 
computer vision
2016 – Present

Publications

Co-Authors

View all 105 co-authors