School of Medicine
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Jayme Koltsov, PhD
Senior Biostatistician, Orthopaedic Surgery
BioDr. Koltsov is an expert in clinical and translational orthopaedic research design and biostatistics with a unique and valuable combination of skill-sets. Her foundation from her Ph.D. in orthopaedic biomechanics provides an understanding of the underlying anatomy, pathology, and mechanics not typical for a biostatistician. This background empowers effective and efficient communication with clinicians and scientists and enables Dr. Koltsov to develop study designs and analytic strategies exceptionally tailored to the physical orthopaedic problems under investigation.
Dr. Koltsov has an extensive knowledge base in research methodology and statistical methods honed from her PhD onward, including univariate statistics (parametric, non-parametric, and categorical); survival analysis (Kaplan Meier and Cox proportional hazards); multivariable and longitudinal data analyses (logistic regression, generalized linear modeling, linear mixed models, hierarchical and repeated measures modeling, and generalized estimating equations,); quasi-experimental techniques for reducing bias (propensity score matching and inverse probability treatment weighting); patient reported outcome design and validation; diagnostic test validation; and healthcare economic analysis. Over the past 11 years, Dr. Koltsov has developed a successful track record of collaborations with clinicians and scientists to lead and facilitate high-quality clinical, translational, and health services research spanning multiple orthopaedic disciplines, including spine, arthroplasty, foot and ankle, upper extremity, trauma, sports medicine, pediatrics, rheumatology, rehabilitation, and biomechanics. -
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.