Stanford University
Showing 16,241-16,260 of 36,333 Results
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Pallavi Kompella
Lead Research Scientist, Animal Pharmacology, Innovative Medicines Accelerator (IMA)
BioPh.D. Pharmaceutical Sciences, The University of Texas at Austin, Texas
(American Foundation for Pharmaceutical Education Doctoral Fellow)
Fulbright Postdoctoral Scholar, Biomedical Research Institute of Malaga, Spain -
Praneeta R. Konduri
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Konduri is a Postdoctoral scholar at the Department of Neurology and Neurological Sciences. With a background in biomedical engineering, she conducted her PhD research as part of a European consortium that developed computational stroke models, while also analyzing post-treatment brain tissue damage from multicenter clinical trials to assess prognosis. After completing her PhD, she continued as a Postdoctoral Researcher within the European consortium GEMINI, that aimed to implement digital twins for personalized stroke treatment. At the Stanford Stroke Center, she now focusses on developing AI tools for stroke diagnosis, treatment evaluation, prognostication, and personalized treatment development.
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Silvana Maria Konermann
Assistant Professor of Biochemistry
BioSilvana is an Assistant Professor of Biochemistry at Stanford and Executive Director and Core Investigator at Arc Institute. Her research laboratory aims to understand the molecular pathways that drive the development of Alzheimer’s disease using next-generation functional genomics, with the long-term goal of developing rationally targeted therapeutics for neurodegenerative disorders. She received her Ph.D. in Neuroscience from MIT. Silvana’s pioneering work on tools to directly perturb the transcriptomic landscape of the cell using CRISPR has been recognized by her faculty appointment as a Chan Zuckerberg Biohub Investigator and Hanna Gray Fellow of the Howard Hughes Medical Institute.
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Christina Kong
Professor of Pathology
Current Research and Scholarly InterestsImproving the accuracy of cytologic diagnosis through the use of ancillary techniques on specimens obtained by fine needle aspiration biopsy.
Identifying potential indicators of prognosis in head and neck squamous cell carcinomas.
Evaluating the utility of immunohistochemical stains in refining the diagnosis of squamous dysplasia of the cervix, vulva, and head and neck. -
JT Kong
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Jiang-Ti Kong specializes in the treatment of chronic pain syndromes with expertise in the clinical management and scientific investigation of low back pain and fibromyalgia. In addition to teaching and practicing conventional pain management, Dr. Kong also leads the acupuncture service at the Stanford Pain Management Center, offering effective treatment alternatives for patients suffering from back pain, neck pain, joint pain, headaches, and complex regional pain syndrome. Dr. Kong has developed a strong interest in the interdisciplinary study of chronic pain mechanisms and alternative treatment modalities such as acupuncture. She currently leads two NIH-funded projects investigating the mechanisms of electro-acupuncture for the treatment of chronic low back pain.
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Qinqin Kong
Postdoctoral Scholar, General Internal Medicine
BioI am currently a Postdoctoral Scholar in the Departments of Medicine and Health Policy at Stanford University, after earning a PhD in atmospheric science from Purdue University. My research interests lie at the intersection of climate change—particularly extreme heat—and human society. I aim to advance our understanding of the physical mechanisms, cascading impacts, and the effectiveness of potential mitigation strategies for human heat stress. My PhD research focused on how land-atmosphere interactions modulate heat stress, as well as the economic and energy impacts of increasing heat stress in the context of climate change. My postdoctoral research at Stanford evaluates the impact of heat stress on public health, especially human fertility, in low- and middle-income countries. My methodological areas of expertise include climate modeling, human biophysics modeling, and econometric modeling, which I am further developing at Stanford.
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Taeyoung Kong
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioTaeyoung is a Ph.D. student at Stanford University working with prof. Mark Horowitz in VLSI group and he is currently working within the AHA Agile Hardware Project. He is interested in hardware accelerator for deep learning / image processing and hardware design methodology. Taeyoung received a B.S. in Electrical and Computer Engineering from Seoul National University in 2017, and M.S. in Electrical Engineering from Stanford University in 2020.
