I am a researcher with the Light Microscopy and Screening Center at the Swiss Federal Institute of Technology (ETH Zürich). I work on on data analysis and machine learning tools for high content screening. I am also involved in ongoing research projects funded by SystemsX.ch.
My research interests include classical computer vision problems including tracking, detection, segmentation, and feature design, as well as problems specific to microscopic imagery including tree reconstruction, denoising, registration, and alignment. I am also interested in developing active learning methods to speed up and improve classification on large data sets. I work with a variety of microscopy methods including brightfield, 2-photon, phase contrast, confocal, and electron microscopy. For more information, see my research page.
Previously, I was a postdoctoral fellow in the Computer Vision Laboratory (CVLAB) at EPFL, where I worked on applying computer vision and machine learning techniques to analyze microscopy data related to neural development. My PhD work on multi-target tracking, object representation, activity recognition, event detection, and tracking performance evaluation was done at EPFL and the IDIAP Research Institute. My undergraduate and masters degrees are from the University of Illinois at Urbana-Champaign (UIUC), where I worked with the Image Formation and Processing group. I also collaborated with the Electronic Visualization Laboratory at UIC, where I developed a real-time hands-free tracking interface for Virtual Reality environments.
While finishing my PhD I wrote a tutorial on Reversible Jump Markov Chain Monte Carlo (RJMCMC) for multi-object tracking which some people have found helpful.
Light Microscopy and
Screening Center (LSMC)
Data Analysis and Machine Learning
Office: HPM E21
Institute for Biochemistry
Phone: +41 44 633 34 94