School of Engineering
Showing 201-250 of 557 Results
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Abhinav Jha
Masters Student in Management Science and Engineering, admitted Winter 2023
Threshold Ventures Fellowship Teaching Assistant, Management Science and Engineering - Technology Ventures ProgramBioMS Candidate in Management Science and Engineering with an interest in M&A (specifically, post merger integrations). Past: Manager at Deloitte - worked on large technology transformations and managed programs to build scalable infrastructures for Fortune 50 companies in addition to leading M&A projects.
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Ramesh Johari
Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering
On Partial Leave from 01/01/2025 To 06/30/2025BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
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Theresa Lynn Johnson
Lecturer
BioProf. Theresa Johnson has a BS in Science, Technology and Society and an MS and PhD in Aeronautics and Astronautics from Stanford University. She’s been published in the fields of robotics, machine learning and plasma physics.
After her PhD, she joined Airbnb as a Data Scientist where she focused on supply growth and quality using natural language processing, image recognition and AI. She transitioned to Product Manager where she led multiple cross-functional teams focused on core processing micro-services, blockchain and infusing AI to create delightful user experiences.
Prof. Johnson is the lecturer for MS&E 165: Introduction to Product Management in winter quarter.
Theresa also angel invests in AI/ML technology platforms and consumer marketplaces. She cares deeply about advancing the careers of women in technology.
Theresa lives in Bernal Heights, San Francisco with her husband, two daughters, her rescued catahoula hound, Amelie, and rescued bunnies, Bill and Jessi. -
Arvind Karunakaran
Assistant Professor of Management Science and Engineering
Current Research and Scholarly InterestsAreas of Research:
Sociology of Work and Occupations/Professions
Organization Theory
Technological/Organizational change
Topics:
Authority in the Workplace
Accountability (Professional, Organizational, Algorithmic)
Phenomena:
Social/Algorithmic Evaluation (of Job applicants, Employees, Startups)
AI in the workplace
Social Media Scrutiny of Frontline Professionals
Conflicts in Symmetrical vs. Asymmetrical Relations
Diversity and Inclusion in Tech
Sustainability/ESG initiatives -
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.
