Independent Labs, Institutes, and Centers (Dean of Research)
Showing 1-10 of 30 Results
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Tulio Valdez, MD, MSc
Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Pediatrics
BioDr. Tulio A Valdez is a surgeon scientist born and raised in Colombia with a subspecialty interest in Pediatric Otolaryngology. He attended medical school at Universidad Javeriana in Bogota Colombia before undertaking his residency in Otolaryngology, Head and Neck Surgery in Boston. He completed his Pediatric Otolaryngology Fellowship at Texas Children’s Hospital (2007), Houston and obtained his Master’s in Clinical and Translational Research at the University of Connecticut.
Clinically, Dr. Valdez has an interest in pediatric sleep apnea. He has a special interest in the management of sinus disease in cystic fibrosis. Dr. Valdez has co-authored one textbook and numerous book chapters and scientific manuscripts. Dr. Valdez continues his clinical research in these areas, particularly with a focus on aerodigestive disorders.
Scientifically, Dr. Valdez has developed various imaging methods to diagnose otitis media and cholesteatoma a middle ear condition that can lead to hearing loss. He was part of the Laser Biomedical Research Center at the Massachusetts Institute of Technology. His research includes novel imaging modalities to better diagnose ear infections one of the most common pediatric problems. His research has now expanded to include better intraoperative imaging modalities in pediatric patients to improve surgical outcomes without the need for radiation exposure.
Dr. Valdez believes in multi-disciplinary collaborations to tackle medical problems and has co-invented various medical devices and surgical simulation models. -
Melissa Valentine
Associate Professor of Management Science and Engineering
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
Current 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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Matt van de Rijn
Sabine Kohler, MD, Professor of Pathology
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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Keith Van Haren, MD
Assistant Professor of Neurology (Pediatric Neurology) and of Pediatrics
Current Research and Scholarly InterestsOur research group is dedicated to developing novel interventions for children at risk for neurodegenerative disorders. We are focused primarily on multiple sclerosis and X-linked adrenoleukodystrophy, both of which involve inflammatory and metabolic disruption to brain myelin. In addition to rescue therapies, we are interested in the role of nutrient deficiencies in disease mechanism and prevention.
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Capucine Van Rechem
Assistant Professor of Pathology (Pathology Research)
Current Research and Scholarly InterestsMy long-term interest lies in understanding the impact chromatin modifiers have on disease development and progression so that more optimal therapeutic opportunities can be achieved. My laboratory explores the direct molecular impact of chromatin-modifying enzymes during cell cycle progression, and characterizes the unappreciated and unconventional roles that these chromatin factors have on cytoplasmic function such as protein synthesis.
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Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering
BioBenjamin Van Roy is a Professor at Stanford University, where he has served on the faculty since 1998. His current research focuses on reinforcement learning. Beyond academia, he leads a DeepMind Research team in Mountain View, and has also led research programs at Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He is a Fellow of INFORMS and IEEE and has served on the editorial boards of Machine Learning, Mathematics of Operations Research, for which he co-edited the Learning Theory Area, Operations Research, for which he edited the Financial Engineering Area, and the INFORMS Journal on Optimization. He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT, where his doctoral research was advised by John N. Tstitsiklis. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, the Management Science and Engineering Department's Graduate Teaching Award, and the Lanchester Prize. He was the plenary speaker at the 2019 Allerton Conference on Communications, Control, and Computing. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe, the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University, a Visiting Professor at the National University of Singapore, and a Visiting Professor at the Chinese University of Hong Kong, Shenzhen.
