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Nicholas J. Durr, Ph.D.

July 1, 2019 @ 12:00 pm - 1:00 pm

Assistant Professor of Biomedical Engineering, Johns Hopkins University

Designing Solutions to Healthcare Needs With Computational Biophotonics

Abstract
Computational biophotonics pairs optical system design with the development of intelligent algorithms to extract meaningful data from interrogated tissues (often via an unintuitive computational image). With the recent dramatic advances in deep learning tools, there are many exciting opportunities to apply data-driven models with novel imaging systems to create impactful medical devices. I will present our efforts in developing and translating computational biophotonics medical devices for a variety of important healthcare needs, including: (1) improving the management of colorectal cancer with deep learning and the computational colonoscope, (2) enabling a non-invasive blood count with gradient-field capillaroscopy, and (3) making eye care more accessible with a low-cost, handheld wavefront aberrometer.

Biography
Nicholas Durr is an Assistant Professor of Biomedical Engineering at Johns Hopkins University and the co-Director of Undergraduate Programs at the Center for Bioengineering Innovation and Design (CBID). He received a B.S. in Electrical Engineering and Computer Science from U.C. Berkeley in 2003, worked as a Research Engineer at Nellcor from 2003 to 2004, and received a Ph.D. in Biomedical Engineering from U.T. Austin in 2010. He completed a Postdoctoral Fellowship at Harvard Medical School in 2011 and was an independent investigator at MIT from 2011 to 2014 as a Fellow in the M+Visión Consortium. In 2013 he co-founded PlenOptika, which he led as CEO until he joined Hopkins in 2016.

For more information or to schedule a meeting with the speaker, please contact Hanna Kim.

Details

Date:
July 1, 2019
Time:
12:00 pm - 1:00 pm

Venue

3201 Natural Sciences II

Organizer

Lunch provided

Details

Date:
July 1, 2019
Time:
12:00 pm - 1:00 pm

Venue

3201 Natural Sciences II

Organizer

Lunch provided