Babak Ehteshami Bejnordi
I am a research scientist at Qualcomm AI Research (Staff Engineer and Manager) working on Deep Learning in Computer Vision, Conditional Computation, Continual Learning, and Generative Modeling. I am currently working with Prof. Max Welling on conditional computation.
I obtained my PhD under the supervision of Prof. Nico Karssemeijer and Dr. Jeroen van der laak at the Diagnostic Image Analysis Group, Radboud University, the Netherlands. I worked on the development of machine learning algorithms for detection and characterization of breast cancer in histopathology images.
From Jun to Nov 2016, I was a visiting researcher at BeckLab, Harvard Medical School and worked on developing deep learning techniques for analysis of breast cancer stroma in pathology images.
20 Dec 2019: My paper "Batch-shaping for learning conditional channel gated networks" is accepted at ICLR 2020 conference.
02 Dec 2018: My work on real-time human pose estimation on mobile devices was demoed at NeurIPS.
22 Jun 2018: My interview with the Cancer Today Magazine is published.
16 Jun 2018: My latest work in collaboration with Harvard, NIH, and Mayo Clinic is published.
20 Dec 2017: I defended my PhD in public: video recording
12 Dec 2017: Follow the Altmetric Attention Score and Tweets for my Article in JAMA
12 Dec 2017: My paper is published in JAMA
07 Dec 2016: CAMELYON16 won the 2016 MedicalPhit Innovation Award
16 Nov 2016: I gave a talk on deep learning at the Broad Institute of MIT and Harvard
10 Oct 2016: CAMELYON16 was mentioned in the White House AI strategic planning report
15 Oct 2015: I started organizing the CAMELYON16 challenge
01 Apr 2018: I started working at Qualcomm AI Research
01 Oct 2017: I joined Mapscape as an Autonomous Driving Engineer
01 Jun 2016: I joined BeckLab at Harvard as a visiting researcher for 6 months
01 Apr 2013: I started my PhD at the Diagnostic Image Analysis Group