About this Event
Please join the Goergen Institute for Data Science for: End-to-End Learning For Computational Microscopy, a research seminar with Laura Waller, Associate Professor of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley.
Abstract: Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. Computers can replace bulky and expensive optics by solving computational inverse problems. This talk will describe end-to-end learning for development of new microscopes that use computational imaging to enable 3D fluorescence and phase measurement. Traditional model-based image reconstruction algorithms are based on large-scale nonlinear non-convex optimization; we combine these with unrolled neural networks to learn both the image reconstruction algorithm and the optimized data capture strategy.
Bio: Laura Waller is the Ted Van Duzer Associate Professor of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, a Senior Fellow at the Berkeley Institute of Data Science, and affiliated with the UCB/UCSF Bioengineering Graduate Group. She received B.S., M.Eng. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT) in 2004, 2005 and 2010, and was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012. She is a Packard Fellow for Science & Engineering, Moore Foundation Data-driven Investigator, Bakar Fellow, OSA Fellow and Chan-Zuckerberg Biohub Investigator. She has recieved the Carol D. Soc Distinguished Graduate Mentoring Award, Agilent Early Career Profeessor Award (Finalist), NSF CAREER Award and the SPIE Early Career Achievement Award.
To view a recording of this talk, click on the link below:
THIS MEETING REQUIRES A PASSCODE: 486000
Please click the link below to join the webinar:
Or iPhone one-tap :
US: +16468769923,,94982041056# or +13017158592,,94982041056#
Dial(for higher quality, dial a number based on your current location):
US: +1 646 876 9923 or +1 301 715 8592 or +1 312 626 6799 or +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833
Webinar ID: 949 8204 1056
International numbers available: https://rochester.zoom.us/u/abZW8jPowL
Or an H.323/SIP room system:
18.104.22.168 (US West)
22.214.171.124 (US East)
126.96.36.199 (India Mumbai)
188.8.131.52 (India Hyderabad)
184.108.40.206 (Amsterdam Netherlands)
Meeting ID: 949 8204 1056