Stanford University
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Kristen Valenti-McKeen
Exhibits Librarian, Humanities Resource Group
Staff, Tech SupportBioKristen Valenti-McKeen is the Exhibitions & Engagement Librarian for the Silicon Valley Archives (SVA) at Stanford University Libraries and is responsible for the Hohbach Hall Exhibitions Program. The SVA is a unit of the History of Science & Technology Collections in the Humanities and Area Studies Resource Group. She designs, develops, and produces visitor-centered exhibitions and programs that create opportunities for object-based learning and foster discussion.
Kristen earned an MA in Museum Education from Tufts University, as well as a BA in Sociology and Anthropology from Stockton University. -
Keara E. Valentine
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioKeara E. Valentine, Psy.D., is a clinical assistant professor at Stanford University School of Medicine in the Psychosocial Treatment Clinic and OCD Clinic, where she specializes in the assessment and treatment of OCD and related disorders. Dr. Valentine utilizes behavioral-based therapies including Cognitive Behavioral Therapy (CBT) and Exposure and Response Prevention (ERP) with children, adolescents, and adults experiencing anxiety-related disorders.
Dr. Valentine completed an APA accredited pre-doctoral internship at Alexian Brothers Behavioral Health Hospital, where she complete a rotation in OCD and anxiety disorders and a rotation in Eating Disorders. Dr. Valentine has experience working with individuals with OCD, anxiety, and/or eating disorders at various levels of care including outpatient, partial hospitalization, residential, and inpatient. -
Melissa Valentine
Associate Professor of Management Science and Engineering and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsAs societies develop and adopt new technologies, they fundamentally change how work is organized. The intertwined relationship between technology and organizing has played out time and again, and scholars predict that new internet and data analytic technologies will spur disruptive transformations to work and organizing.
These changes are already well-documented in the construction of new market arrangements by companies such as Upwork and TaskRabbit, which defined new categories of “gig workers.” Yet less is known about how internet and data analytic technologies are transforming the design of large, complex organizations, which confront and solve much different coordination problems than gig platform companies.
Questions related to the structuring of work in bureaucratic organizations have been explored for over a century in the industrial engineering and organizational design fields. Some of these concepts are now so commonplace as to be taken for granted. Yet there was a time when researchers, workers, managers, and policymakers defined and constructed concepts including jobs, careers, teams, managers, or functions.
My research program argues that some of these fundamental concepts need to be revisited in light of advances in internet and data analytic technologies, which are changing how work is divided and integrated in organizations and broader societies. I study how our prior notions of jobs, teams, departments, and bureaucracy itself are evolving in the age of crowdsourcing, algorithms, and increasing technical specialization. In particular, my research is untangling how data analytic technologies and hyper-specialization shape the division and integration of labor in complex, collaborative production efforts characteristic of organizations. -
Gregory Valiant
Associate Professor of Computer Science
On Leave from 10/01/2025 To 06/30/2026Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.
