School of Engineering
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Kian Katanforoosh
Adjunct Lecturer, Computer Science
BioKian Katanforoosh is a computer scientist and lecturer at Stanford University, where he teaches Deep Learning in the Computer Science department with Prof. Andrew Ng. He is a founding member of DeepLearning.AI, co-creator of the Deep Learning Specialization on Coursera, and founder of Workera (www.workera.ai), a self-assessment platform where people evaluate their job competencies with AI-powered assessments and find their career pathways. From 2014 to 2016, Kian co-founded and co-led Daskit, a French start-up developing in-classroom ed-tech solutions for universities.
Kian holds Master's degrees from Stanford University and Ecole CentraleSupelec (formerly Ecole Centrale Paris). At Stanford, he received both the Walter J. Gores award (Stanford’s highest teaching award) and the Centennial award for Excellence in teaching.
His family migrated from Iran to France, and he grew up next to Paris. -
Riitta Katila
W.M. Keck Professor and Professor of Management Science and Engineering
Current Research and Scholarly InterestsThe question that drives Prof. Katila's research is how technology-based firms with significant resources can stay innovative. Her work lies at the intersection of the fields of technology, innovation, and strategy and focuses on strategies that enable organizations to discover, develop and commercialize technologies. She combines theory with longitudinal large-sample data (e.g., robotics, biomedical, platform and multi-industry datasets), background fieldwork, and state-of-the-art quantitative methods. The ultimate objective is to understand what makes technology-based firms successful.
To answer this question, Prof. Katila conducts two interrelated streams of research. She studies (1) strategies that help firms leverage their existing resources (leverage stream), and (2) strategies through which firms can acquire new resources (acquisition stream) to create innovation. Her early contributions were firm centric while recent contributions focus on innovation in the context of competitive interaction and ecosystems.
Professor Katila's work has appeared in the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Strategic Entrepreneurship Journal, Strategy Science, Strategic Management Journal, Research Policy and other outlets. In her work, supported by the National Science Foundation, Katila examines how firms create new products successfully. Focusing on the robotics and medical device industries, she investigates how different search approaches, such as the exploitation of existing knowledge and the exploration for new knowledge, influence the kinds of new products that technology-intensive firms introduce. -
Noa Katz
Postdoctoral Scholar, Chemical Engineering
BioNoa Katz is a Stanford Science Fellow and an EMBO and Fulbright postdoctoral scholar at Stanford University. She implements biomolecular gene circuits to study and manipulate the central nervous system to promote therapeutic applications for neural repair and autism.
