Assoc. Professor Daphne Weihs, Ph.D.
Technion - Israell Institute of Technology, Israel
Lecture: Public communication of the technology and products
How to deliver a coherent, impactful message to different audiences: from Executive summary, presentation to "sharks", technical presentation to team, and presentations & posters at scientific conferences. Organization and creative brainstorming prior to development of a technological or product narrative, use of sketches and other visual aids.
Lecture: Communicating the invention internally and to professional partners
Lecture: Real world examples and case studies
Associate Professor Daphne Weihs is a Professor of Biomedical Engineering at the Technion-Israel Institute of Technology since 2006. She obtained her BSc, MSc, and PhD (2004) at the Faculty of Chemical Engineering, Technion. She did her post-graduate research at the Department of Pathology and Lab Medicine, Medical School, University of California at Los Angeles (UCLA, 2004-2006).
Prof. Weihs is the head of the Scientific Committee of the Israel Society of Medical and Biological Engineering (ISMBE) since 2015. Prof. Weihs serves on the editorial board of the journal Convergent Science Physical Oncology. Her research is funded by highly competitive governmental scientific funding agencies such as the Israel Ministry of Science and Technology (MOST), the Israel Ministry of Health (MOH), and the Israel Ministry of Economics. Among her honors and awards are the Henri Gutwirth Research Grant Award, a paper featured in ‘Highlights of 2013 collection’ of New Journal of Physics, and she was chosen as one of the 50 Most Influential Women in Israel, Globes 25th Annual Listing in the supplement Lady Globes of September 2015.
Her focus is the mechanobiology of cells – the stiffness and dynamics of cells and their mechanical interactions with the microenvironment, in the contexts of cancer progression and in wound prevention and healing. She has recently developed a mechanobiology-based technology to diagnose cancer and predict metastases.