Stanford University
Showing 901-950 of 1,473 Results
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Hui Qi Tong
Clinical Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
BioClinical Professor, Stanford Department of Psychiatry & Behavioral Sciences
Clinical Associate Professor, Stanford Department of Psychiatry & Behavioral Sciences
HS Clinical Assistant Professor, UCSF Department of Psychiatry & San Francisco VA Health Care
Staff Psychologist: Women's Mental Health Program, San Francisco VA Health Care System
Academic visitor: Oxford Mindfulness Center, Department of Psychiatry, Oxford University
Psychology Post-doctoral Fellowship: UCSF/San Francisco VA Health Care System
Psychology Pre-doctoral Internship: UCSF/San Francisco VA Health Care System
Psychology Education: Pacific Graduate School of Psychology, Palo Alto University (2008)
Clinical Research Associate: Department of Psychiatry, Tufts University School of Medicine
Research Fellow: Genetics Division, Department of Medicine, Boston Children's Hospital,Harvard Medical School
Medical Education: Fudan University, Shanghai Medical College, Shanghai, China (1994) -
Matheus Tonholo Ikedo
Postdoctoral Scholar, Radiology
BioMatheus Tonholo Ikedo is a Postdoctoral Research Fellow at Stanford University’s Department of Radiology, where he conducts research under the guidance of Dr. Bruno P. Soares. His academic interests lie at the intersection of pediatric neuroradiology and artificial intelligence, specifically focusing on how AI-driven tools can optimize magnetic resonance imaging (MRI) diagnostics and improve healthcare delivery for neuropediatric patients.
A Brazilian-trained physician, Matheus earned his medical degree from the Federal University of São Paulo (UNIFESP) and completed his Radiology residency at the University of São Paulo (USP), where he was recognized with the Guerbet-InRad Best Resident Award in his final year. -
Alberto Tono
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2021
Ph.D. Minor, Computer Science
Grad RA student-Hourly, Institute for Human-Centered Artificial Intelligence (HAI)BioTono Alberto is a current PhD Student at Stanford under the supervision of Kumagai Professor: Martin Fischer. He is currently exploring ways in which the Convergence between Digital and Humanities can facilitate cross-pollination between different industries within an Ethical Framework focused on augmenting human intelligence.
He served as the Research and Computational Design Leader in Architectural and Engineering organizations, receiving the O1-visa for outstanding abilities with both HOK and HDR. Tono obtained his Masters in Building Engineering - Architecture from the University of Padua and the Harbin Institute of Technology under the supervision of Andrea Giordano, Carlo Zanchetta and Paolo Borin. He has been working in the computational design and deep learning space since 2014. Furthermore, he is improving Building Information Modeling and Virtual Design and Construction (BIM/VDC) workflows within a statistical framework to optimize the sustainability impact of these processes. Hence, Tono is LEED AP certified. He is an international multi-award-winning “hacker” and speaker, and his work within Architecture and Artificial Intelligence brought him to companies in China, the Netherlands, Italy, and California. Thanks to his multidisciplinary approach he worked as Data Scientist and Geometric Deep Learning Researcher at a Physna/Thangs helping to raise over 80 Milion while working on 3D Search and Monocular 3D Shape Retrieval problems.
Currently is focusing on better methodologies for Generative Building Design, centered on capturing design knowledge from the primordial and universal act of Sketching. -
Jack Topper
Graduate, Stanford Center for Professional Development
BioJack Topper is a Scientific Software Engineer at NASA’s Community Coordinated Modeling Center (CCMC), where he designs and operates large-scale scientific data and modeling systems supporting the global space-weather research community. His work focuses on automating high-performance computing workflows, building resilient data pipelines, and translating complex scientific models into reliable, user-facing services.
He collaborates closely with domain scientists to bridge research objectives and production-grade software, and has taken on technical leadership responsibilities spanning system architecture, reliability, and user adoption. His interests sit at the intersection of optimization, decision systems, machine learning, and large-scale infrastructure, with an emphasis on how mathematical models and data-driven methods inform real-world operational decisions.
Jack is currently pursuing Stanford’s Data, Models, and Optimization Certificate through the Stanford Center for Professional Development, including coursework in convex optimization and related decision-science foundations. -
Alice Tor
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioPhD candidate in Electrical Engineering, advised by Dr. Paul Nuyujukian
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Diana Tordoff
Instructor, Obstetrics & Gynecology - General
BioDiana M. Tordoff, PhD, MPH is an epidemiologist with expertise in LGBTQ+ health equity and gynecological health research. Dr. Tordoff completed her PhD and MPH in Epidemiology at the University of Washington and received a BA with honors in Mathematics from Vassar College. She is also an affiliated researcher with The PRIDE Study (pridestudy.org), where she recently completed a postdoctoral fellowship. Her current research focuses on the impact of exogenous hormones (gender affirming hormones and menopause hormone therapy) on sexual and gynecological health. Her research interests include sexual and reproductive health, menopause, the vaginal microbiome, molecular epidemiology, intersectionality, and community-engaged research methods.
