CV

Education

Doctor of Philosophy (PhD) in Computer Science
EPFL (École polytechnique fédérale de Lausanne), 2008 – 2013
Master of Science (MsC) in Computer Science
INSA Lyon – Institut National des Sciences Appliquées de Lyon, 2004 – 2007

Departement Mathematik und Informatik | Universität Basel
Full-time, Jan 2022 – Present (3 yrs 2 mos) | Basel, Switzerland

ETH Zurich
Jul 2018 – Jan 2022 (3 yrs 7 mos)

ETH Zurich
Apr 2014 – Jul 2018 (4 yrs 4 mos) | Zürich Area, Switzerland

Conducted research in Data Analytics at ETH Zurich
Collaborated with Prof. Thomas Hofmann on developing machine learning algorithms for large-scale data analysis (including text and images)
Lecturer for Probabilistic Graphical Models at ETH Zurich
Research Area: Optimization and Machine Learning

EPFL
Oct 2013 – Mar 2014 (6 mos)

EPFL
Aug 2008 – Sep 2013 (5 yrs 2 mos)

Thesis: “Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images”
- Advisor: Prof. Pascal Fua, Computer Vision Lab
- Collaborated with neuroscientists to develop algorithms for analyzing large-scale microscopy data
- More info: EPFL CV Lab – Biomed Plugins

Microsoft
Jul 2012 – Sep 2012 (3 mos) | Cambridge, United Kingdom

Worked on machine learning algorithms for the semantic segmentation of brain tumors

Google New York
Jun 2011 – Sep 2011 (4 mos) | New York City

Developed a joint framework for image and word sense discrimination for Google Image Search (in collaboration with Dr. Jason Weston)
Utilized Hadoop MapReduce for massive scalability across thousands of clusters

Efficient Scanning for EM Based Target Localization
US 13/535,497 (Issued Dec 1, 2012)

ERC SNF Consolidator Grant
Issued by Swiss National Foundation, Aug 2024
Associated with Departement Mathematik und Informatik | Universität Basel
9% acceptance rate
Highlighted Area Chair ICLR 2022
Outstanding Reviewer (top 10%)
NeurIPS 2018, ICML 2018