TOPGRAD - History

TOPGRAD@MICCAI 2020 - How to get your next position

This year, our focus is on getting Fellowships, creating a successful CV, and how to pass the interview process. Find out from our speakers how COVID19 has affected the job searching and application process.

For this year's theme on getting your next position, TOPGRAD begins with two case examples from speakers who were successful in obtaining Fellowship funding for their post-doctoral research. For the latter half, we have two invited speakers with a wealth of collective experiences in both academia and industry who will share what they look for during the hiring process from CVs through to the interview.

Link: MICCAI 2020 (http://www.miccai2020.org/)

Stephen Aylward, Ph.D.

Stephen is founder and Senior Director of Operations of Kitware’s North Carolina office. This office has over 20 researchers and developers dedicated to creating and enhancing open-source algorithms, toolkits, and applications for academia and industry. Their work spans the fields of medical image analysis, computer vision, scientific computing, data management, and software engineering.

At the University of North Carolina (UNC), Stephen is an adjunct Associate Professor in the Department of Computer Science. Additionally, Stephen is the treasurer (previously the president) for the Insight Software Consortium which helps to manage ITK, IGSTK, and other open-source packages. He also serves as an Associate Editor for IEEE Transactions on Medical Imaging, on various conference program committees including SPIE Medical Imaging and MICCAI, and on NIH study sections. Prior to joining Kitware, Stephen was a tenured Associate Professor of Radiology, Computer Science, and Surgery at UNC.

http://www.aylward.org

Bernhard Kainz, Ph.D.

Bernhard is a Senior Lecturer (= Associate Professor) in the Department of Computing at Imperial College London. He heads the human-in-the-loop computing group and is one of four academics leading the Biomedical Image Analysis, BioMedIA Collaboratory. Human-in-the-loop computing research aims at complementing human intelligence with machine capabilities and machine intelligence with human flexibility.

Bernhardt is also an Associate Editor for IEEE Transactions on Medical Imaging and a scientific adviser for ThinkSono Ltd and Ultromics Ltd. He is the Affordable Imaging stream lead for the EPSRC Centre for Doctoral Training in Smart Medical Imaging and involved in the UKRI Centre for Doctoral Training in Artificial Intelligence for Healthcare.

http://wp.doc.ic.ac.uk/bkainz

TOPGRAD@MICCAI 2019, Shenzhen, China

See corresponding website.

TOPGRAD@MICCAI 2018, Granada, Spain

Nassir Navab

Prof. Navab focuses on computer-aided medical procedures and augmented reality. The work involves developing technologies to improve the quality of medical intervention and bridges the gap between medicine and computer science. He has authored hundreds of scientific publications and has filed over 60 international patents.

Stephen Aylward

Stephen R. Aylward, Ph.D. is Senior Director of Strategic Initiatives at Kitware. Stephen is also the treasurer for the MICCAI Society, an associate editor for IEEE Transactions on Medical Imaging and the SPIE Journal of Medical Imaging; an adjunct associate professor of computer science at UNC; and the principle investigator on over $12M in NIH R01 and small business grants and contracts. His research currently involves point-of-care ultrasound applications, image registration involving pathologies, and vascular network characterization.

Demian Wasserman

Demian Wassermann, PhD is an Associate Research Professor at Inria Saclay Île-de-France within the Parietal laboratory. Since 2014, he has joined the INRIA to study computational representations of brain anatomy at the micro- and meso-scopic scale through MRI.

Demian graduated from the University of Buenos Aires, Argentina, where he obtained his B.Sc in computer science. He obtained his PhD at theAthena research team at the INRIA Sophia Antipolis under the supervision of Professor Rachid Deriche. In his PhD he focused on the analysis of white matter fibers traced from Diffusion MRI, aiming at providing a sound mathematical framework for automatic dissection and statistical analysis of the structures of the human brain's white matter. Between 2010 and 2013 Demian worked at the Harvard Medical School and the Brigham and Women’s Hospital developing tools for the computational analysis and representation of human anatomy with an emphasis in neuroanatomy of the white matter. Recently, Demian was awarded an ERC Starting grant to deepen his work in computational representations of neuroanatomy.

Keyvan Farahani

Dr. Farahani is a Program Director in the Image-Guided Interventions (IGI) Branch, Cancer Imaging Program of the National Cancer Institute. In this capacity he is responsible for the development of NCI initiatives that address diagnosis and treatment of cancer through integration of advanced imaging and minimally invasive therapies.

Prior to joining NCI in fall of 2001, Dr. Farahani was a faculty of the department of Radiological Sciences at the University of California, Los Angeles, where he obtained his MS ('89) and PhD ('93) degrees in Biomedical Physics. Dr. Farahani is a member of the American Association of Physicists in Medicine, the Scientific Program Committee of the Radiological Society of North America, and a past president of the Interventional MR study group of the International Society of Magnetic Resonance in Medicine.