Ortal Dayan

Driven by the goal to bridge the gender gap in AI. We strive to achieve this by, running training courses (sponsored by TAU CS Department, NVIDIA and Yandex) to extend understanding of ML/DL and improve programming skills, organizing events to promote graduate-level research in AI, and assisting connection with potential employers. - Organized an Intro to DL with Pytorch course with 250 women students sponsored by the School of CS TAU, NVIDIA and Yandex. Organized a course on Explainable AI in collaboration with LAMDA Lab, TAU. - Organizing events to promote women's activity in AI in collaboration with industry leaders and stakeholders. E.g., Moderated a panel discussion on How to Lead AI teams Effectively in collaboration with Amiti Ventures and Israel Innovation Authority. - Represented the organization at conferences and on the radio: as a speaker at Future of AI, a panellist at NVIDIA GTC and speaker on Seder Yom with Keren Neubach - Email: w.deeplearning@gmail.com - Linkedin page: W-AI - Website: www.women-ai.com. - Article on The Marker: https://www.themarker.com/technation/.premium-MAGAZINE-1.10305325