Stanford University
Showing 541-560 of 1,332 Results
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Kate Therkelsen, MD
Clinical Assistant Professor, Adult Neurology
BioDr. Therkelsen is a board-certified, fellowship-trained neuro-oncologist with the Stanford Medicine Cancer Center and a clinical assistant professor in the Department of Neurology and Neurological Sciences.
She diagnoses and treats a wide range of conditions including primary brain tumors and cancers of the central nervous system, metastatic disease to the brain and spinal cord, and neurologic complications of cancer. She prepares a personalized, comprehensive care plan for each patient she serves.
Dr. Therkelsen’s research interests include clinical trials of new therapeutics, as well as ways to reduce toxicities that some patients may experience when receiving cancer treatment. Her fellowship research projects included a study of survival and long-term function among patients treated for primary central nervous system lymphoma. She also received a pre-doctoral National Institutes of Health Intramural Research Training Award for her work with the Framingham Heart Study.
She has published in Current Treatment Options in Oncology and other peer-reviewed journals. She has presented to her peers at international, national, and regional meetings, including the annual meetings of the Society of Neuro-Oncology and of the American Academy of Neurology.
Dr. Therkelsen is a member of the Society of Neuro-Oncology and the American Academy of Neurology. -
Hawa Racine Thiam
Assistant Professor of Bioengineering and of Microbiology and Immunology
Current Research and Scholarly InterestsOur current work has two branches. Branch #1 is building a quantitative and predictive understanding of how neutrophils initiate and complete NETosis. Branch #2 is identifying the molecular and biophysical mechanisms that regulate high deformability in neutrophils. These branches converge onto understanding and harnessing the impact of nuclear biophysics on immune cell functions to re-engineer neutrophils for improved health.
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Reuben Thiessen
Project Manager - IT, SAL Digital Learning
Current Role at StanfordI'm responsible for supporting technical projects emerging from Stanford Accelerator for Learning initiatives such as AI+Education and Virtual Field Trips. I work closely with the Director of Digital Learning Solutions as well as a team of technologists and researchers, fostering innovative solutions between subject matter experts and a team of support staff.
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Faye Shen Li Thijssen
Ph.D. Student in Environmental Social Sciences, admitted Autumn 2025
BioFaye is a PhD student in Environmental Social Sciences. Her research focuses on how global institutions and powerful actors shape environmental governance structures, with particular focuses on United States overseas military basing & anti-basing social movements, and multinational corporations.
Prior to coming to Stanford, her research focused on indirect corporate influence in environmental politics, investigating executional greenwashing and its potential to affect public perceptions and preferences for regulatory policy. This research primarily employed experimental methods, with support from the Oxford Department of Politics & International Relations and the Nuffield Centre for Experimental Social Sciences. -
Candace Thille
Associate Professor (Teaching) of Education
Current Research and Scholarly InterestsCIF21 DIBBs: Building a Scalable Infrastructure for Data-Driven Discovery and Innovation in Education: Funded by the National Science Foundation.
In collaboration with Carnegie Mellon, MIT, and the University of Memphis, we are creating a community software infrastructure, called LearnSphere, which supports sharing, analysis, and collaboration across a wide variety of educational data. LearnSphere supports researchers as they improve their understanding of human learning. It also helps course developers and instructors improve teaching and learning through data-driven course redesign.
The Learning Engineering Initiative: EdHub. Funded by the Chan Zuckerberg Initiative/Silicon Valley Community Foundation.
The EdHub project is a cross-sector initiative, to engineer the creation of a novel research and development hub in the Bay Area that is designed to integrate, by design, ongoing research in the Learning Sciences with ongoing approaches to enduring problems of practice within education.
Adaptable Learning Feedback for Instructors: The Open Analytics Research System (OARS). Funded by the Stanford VPTL Innovation Grant.
The activities and embedded assessments in online courseware provide support to students and generate fine-grained student learning data. The Open Analytic Research System (OARS) collects and models student learning data and and presents information to instructors in a dashboard to guide instruction and class activities.
Next Generation Courseware Challenge: A Partnership for Iterative Excellence in Online Courseware for College Learners. Funded by The Bill and Melinda Gates Foundation.
The OLI statistics courseware was created as an open educational resource (OER) on, the now proprietary, CMU OLI platform. In moving to Stanford, I moved the courseware to Lagunita, Stanford’s OpenEdx platform so that it would once again be an OER and extended the capabilities of the Lagunita platform to support the OLI statistics course. In collaboration with multiple partner institutions, we have continued to expand and update the courseware and conducted several learning studies. We have conducted studies in "Mindset" with Carol Dweck's (Stanford Psychology) PERTS group. In collaboration with Emma Brunskill (Stanford Computer Science), we are implementing an adaptive problem solver that uses Bayesian optimization algorithms to automatically identify which items to include in a practice set, and how to adaptively select these items in order to maximize student performance on the specified set of learning objectives and skills. Additional RCT studies that we are currently conducting in the OLI statistics courseware at our partner institutions include a study on the impact of prompting and scaffolding learners to make strategic choices about their use of course resources; and a separate study that builds affect detectors into the courseware to test the impact of timing interventions to the affective as well as cognitive state of the learner.
