Stanford University
Showing 33,001-33,050 of 37,047 Results
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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.
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Axel Valle, PsyD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. Axel Valle is a licensed clinical psychologist providing individual psychotherapy in English and Spanish. He specializes in cognitive behavioral therapy (CBT) for obsessive-compulsive disorder (OCD) and anxiety disorders, with additional expertise in working with high-performance athletes.
Dr. Valle brings a distinctive international clinical background to his practice. He completed his postdoctoral fellowship at Stanford University School of Medicine’s Department of Psychiatry and Behavioral Sciences and earned his doctorate in clinical psychology from The Wright Institute in Berkeley. He also holds a Master’s degree in crisis and trauma from Tel Aviv University and is a licensed clinical psychologist in Mexico City, his place of origin. -
Eline van Beest
Affiliate, School of Medicine - MDRP'S - Biodesign Program
BioEline founded the TUDelft spin-off and MedTech scale-up NightBalance in 2009 with a new therapy for sleep apnea. NightBalance was acquired by Philips in 2018. Currently, she Operating Partner at Thuja Capital and CEO of Hybridize Therapeutics, a spin-off from the LUMC that develops RNA-based therapies for kidney diseases. Besides that she is part of the Investment Committee of the Deep Tech Fund of EZ & InvestNL, the VGZ Voorop in Zorg Fonds and the Graduate Ventures Pre Seed Fund and is a member of the Supervisory Board of Yes!Delft (a leading tech incubator in Europe supporting 280 startups).
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William R. Van Dalsem
Adjunct Lecturer, Mechanical Engineering
BioBill recently completed 40+ years at NASA. Bill's goal is to help the next generation of engineers address the complex challenges facing society, such as climate change, and the resulting critical needs to achieve greener energy and transportation and reduce the impact of wildfires and droughts.
He graduated from Stanford with a Ph.D. in Mechanical Engineering (with a minor in Aeronautics and Astronautics) in 1984, as well as a Master's in Mechanical Engineering in 1981. Bill received his Bachelor's in Mechanical Engineering from the University of California, Santa Barbara where his capstone project was an operational diffuser augmented wind turbine. Bill was a University of California Regent Scholar.
At NASA, Bill began as a research scientist in computational fluid dynamics, eventually providing leadership to organizations that provided aerodynamic support to activities ranging from the Space Shuttle to V/STOL aircraft. Bill led NASA-wide programs which brought high-performance computing to bear on Earth sciences, multi-disciplinary physics to aerospace design, and explored the application of nano and quantum technologies to NASA missions. Bill led NASA Ames' Intelligent Systems Division, which provided critical software to NASA's Earth-like planet detecting Kepler mission, two missions to the Moon, and many innovative small spacecraft missions. Bill spent seven years as a senior systems engineer in the NASA Ames Office of the Chief Engineer. Bill served as the Deputy Director and Chief Strategy Officer of the NASA Ames Aeronautics Directorate, when among his other duties he envisioned a Data & Reasoning Fabric to enable autonomous aircraft to provide critical services in complex environments. In 2020, Bill received NASA's highest recognition, the NASA Distinguished Service Medal.
Bill is learning about exciting new challenges and creative student solutions from his participation in the Stanford Mechanical Engineering Senior Capstone Program. In return, he is trying to provide some lessons learned from working some of NASA's most exciting and challenging missions.
Stanford Mechanical Engineering Senior Capstone Program:
https://me170.stanford.edu -
Laura van Dam
Postdoctoral Scholar, Immunology and Rheumatology
BioI am both trained as a biomedical researcher and medical doctor in internal medicine and strive to close the gap between the clinic and fundamental sciences with translational research. My focus is to study the mechanisms of autoimmune diseases and to translate research insights into therapeutics targeting autoimmunity. I have received my PhD in 2022 in Leiden for studying neutrophil extracellular traps and autoreactive B cells in renal autoimmune diseases. My postdoctoral research project in the Robinson lab focuses on investigating the underlying molecular mechanisms of the pathogenesis of ANCA-associated vasculitis. I particularly aim to identify potential microbial triggers and molecular mimicry in ANCA-associated vasculitis, by characterizing the nasal microbiome and sequencing T cells and B cells of ANCA-associated vasculitis patients.
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Eric Van Danen
Director of Communications, Vice Provost for Undergraduate Education
Current Role at StanfordDirector of Communications, Office of the Vice Provost for Undergraduate Education (VPUE)
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Matt van de Rijn
Sabine Kohler, MD, Professor of Pathology, Emeritus
Current Research and Scholarly InterestsOur research focuses on molecular analysis of human soft tissue tumors (sarcomas) with an emphasis on leiomyosarcoma and desmoid tumors. In addition we study the role of macrophages in range of malignant tumors.
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Stephanie Van de Ven
Member, Stanford Cancer Institute
BioAs Deputy Director of the Canary Center at Stanford for Cancer Early Detection I broadly oversee its operations and research programs. The Canary Center is focused on developing in vitro and in vivo tools for early cancer detection and its research spans the areas of biomarker discovery, development of molecular imaging agents, development of new diagnostic and imaging devices, and mathematical modeling. In my position I facilitate the clinical translation of cancer diagnostic tools and I enable innovative interdisciplinary research. My research expertise includes leading phase I-II clinical trials to evaluate a newly developed optical breast imaging system in combination with a novel imaging agent. I gained valuable experience in clinical translation of medical devices and in testing new imaging agents for the first time in patients. My training as a Radiology resident was instrumental in my decision to focus on cancer early detection research, because it clearly confronted me with the problem that most cancer patients are being diagnosed too late. I expanded my knowledge on biomarker research by developing proteomics assays during my postdoctoral fellowship at Stanford, in conjunction with my continued work in optical and photoacoustic molecular imaging. In my current role, I work with the faculty of the Canary Center and the Molecular Imaging Program at Stanford, and am committed to advancing cancer research by applying my medical training, clinical knowledge, and research expertise to managing collaborative programs and contribute to the success of the Center and its faculty.
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Laurens van de Wiel
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a post-doctoral researcher at Stanford University under supervision of Matthew Wheeler and Stephen Montgomery. My research focuses on understanding the entire spectrum of genetic variation effects on protein function and structure in order to decipher molecular mechanisms of disease.
My post-doctoral work centers on developing novel software methodologies which combine multi-omics data to interpret the functional impact of genetic variants in undiagnosed patients. I am part of the Undiagnosed Disease Network (UDN) at Stanford Center for Undiagnosed Diseases (CUD), Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) consortium at GREGoR Stanford Site (GSS), and the Molecular Transducers of Physical Activity Consortium (MoTrPAC) at the Bioinformatics Center (BIC).
Before joining Stanford. I was received my Ph.D. in 2021 at the Radboud University Medical Center under supervision of Christian Gilissen, Gert Vriend, and Joris Veltman. I received my MSc degree in 2014 at Radboud University under supervision of Tom Heskes, Evgeni Levin, and Armand Paauw. Before my Ph.D, I worked as a Data Scientist at FLXone, where I developed machine learning solutions within a large-scale, real-time infrastructure.
Research
I am interested in a variety of topics in Bioinformatics and Computer Science. In particular, I am interested in the application of Artificial Intelligence and Statistical Modelling to analyse human (Rare) Mendelian Disease Genetics, Evolutionary Comparative Genomics, Protein Domain Homology, and Molecular Structures.
