CIS - "Get to know your neighbors" Seminar series - Prof. Sahand Jamal Rahi
Event details
| Date | 19.04.2021 |
| Hour | 15:15 › 16:15 |
| Speaker | Prof Sahand Jamal Rahi |
| Location | Online |
| Category | Conferences - Seminars |
Title: "Using deep learning to track brains that bend, compress, and stretch."
Abstract:
Quantitative insights into genetic and cellular systems require the analysis of large imaging data sets, which is currently so time-consuming that it represents a key bottleneck to research. While machine learning has revolutionized image processing, methods for analysing 2D images of yeast cells and 4D images of C. elegans worm brains have been inefficient and inaccurate. This is surprising as there are hundreds of yeast laboratories around the world and whole-brain imaging of small animals is increasingly popular. For both types of data, a myriad of techniques from the computer vision literature could, in principle, provide a solution but many, in practice, are too inaccurate or difficult to make work. I will present our solution for 2D yeast image segmentation, our current work on 4D deforming brains, and future research directions.
Bio:
After studying mathematics, physics, and biochemistry at the University of Pennsylvania, I completed my PhD in theoretical physics studying quantum fluctuation forces at the Massachusetts Institute of Technology (MIT). I then switched to the intersection of physics and biology as an Independent Fellow at The Rockefeller University, working on experiments and theory in systems biology in yeast. After being hired at EPFL, I spent an intervening year working on systems neuroscience in C. elegans at Harvard University.
The Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC,ENAC, SB, SV and STI that brings together researchers working on different aspects of Intelligent Systems.
In order to promote exchanges among researchers and encourage the creation of new, collaborative projects, CIS is organizing a "Get to know your neighbors" series. Each seminar will consist of one short overview presentation geared to the general public at EPFL.
The CIS seminar will take place live on Zoom: https://epfl.zoom.us/j/89910799721
Please connect to your zoom account using your "@epfl.ch" address, as this live event is only open to the EPFL community
Monday,April 19th, 2021 from 3:15 to 4:15 pm
NB: Video recordings of the seminars will be made available on our website and published on our social media pages
Abstract:
Quantitative insights into genetic and cellular systems require the analysis of large imaging data sets, which is currently so time-consuming that it represents a key bottleneck to research. While machine learning has revolutionized image processing, methods for analysing 2D images of yeast cells and 4D images of C. elegans worm brains have been inefficient and inaccurate. This is surprising as there are hundreds of yeast laboratories around the world and whole-brain imaging of small animals is increasingly popular. For both types of data, a myriad of techniques from the computer vision literature could, in principle, provide a solution but many, in practice, are too inaccurate or difficult to make work. I will present our solution for 2D yeast image segmentation, our current work on 4D deforming brains, and future research directions.
Bio:
After studying mathematics, physics, and biochemistry at the University of Pennsylvania, I completed my PhD in theoretical physics studying quantum fluctuation forces at the Massachusetts Institute of Technology (MIT). I then switched to the intersection of physics and biology as an Independent Fellow at The Rockefeller University, working on experiments and theory in systems biology in yeast. After being hired at EPFL, I spent an intervening year working on systems neuroscience in C. elegans at Harvard University.
The Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC,ENAC, SB, SV and STI that brings together researchers working on different aspects of Intelligent Systems.
In order to promote exchanges among researchers and encourage the creation of new, collaborative projects, CIS is organizing a "Get to know your neighbors" series. Each seminar will consist of one short overview presentation geared to the general public at EPFL.
The CIS seminar will take place live on Zoom: https://epfl.zoom.us/j/89910799721
Please connect to your zoom account using your "@epfl.ch" address, as this live event is only open to the EPFL community
Monday,April 19th, 2021 from 3:15 to 4:15 pm
NB: Video recordings of the seminars will be made available on our website and published on our social media pages
Practical information
- General public
- Free
Organizer
- CIS