Stanford University
Showing 15,141-15,160 of 37,013 Results
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Sharada Kalanidhi
Director of Data Science, Biochemistry - Genome Center
Current Role at StanfordParaphrasing the mathematician Alexander Grothendieck: the essential thing is to pose problems in the right framework.
Sharada is developing a new field, Mathematical Medicine, which applies pure mathematical frameworks to genomic and multi-omic data for quantitative, personalized diagnosis. This approach explores alternatives to prevailing cohort-based statistical paradigms, particularly in complex clinical cases that have resisted standard methods.
After more than a decade of research and close collaboration with biochemists at the Stanford Genome Technology Center (Dept. of Biochemistry), Sharada concluded that the mathematics currently used for multi-omic diagnosis is inadequate for the level of biological and clinical complexity being attempted. Her conclusion echoes the perspective of the mathematician Mikhail Gromov: “This area does not yet exist. It will have to be invented.” Mathematical Medicine represents one possible construction of such an area. This approach is aligned in spirit with the philosophy of the late mathematician Jim Simons: "We don't start with models. We start with data. We don't have any preconceived notions." Mathematical Medicine lets the data speak for itself.
This field is focused on the development of an intermediate translation layer between cohort-based statistical models and individualized multi-omic diagnosis and clinical decision-making. Without this mathematical layer, the clinical adoption of multi-omic data- particularly for complex cases- has been limited. As a result, many complex, multi-system conditions remain undiagnosed or misdiagnosed for long periods, delaying effective treatment and, in some cases, allowing disease processes to worsen. Additionally, what is learned from rare and extreme cases proves highly informative for the rest of the population.
Further information on this field, including opportunities for early philanthropic partnerships, is available at: https://mathmed-2026.web.app/ -
Anusha Kalbasi, MD
Associate Professor of Radiation Oncology (Radiation Therapy)
BioDr. Kalbasi is a physician-scientist at the Stanford Cancer Institute. In the clinic, Dr. Kalbasi is a radiation oncologist specializing in the treatment of patients with sarcoma and other solid tumors, with expertise in early phase clinical trials related to immunotherapy, cellular therapy, and radiation therapy.
The Kalbasi laboratory studies cancer immunology, with a focus on understanding—and re-engineering—the molecular conversations that immune cells have with one another and with cancer cells, especially through cytokines. By mapping how these signals are sent, received, and interpreted within immune cells and cancer cells, the lab aims to design next-generation immunotherapies that deliver the right messages at the right time—making cancer-fighting cells more potent, more persistent, and more precise. -
Alexandr Kalinin
Affiliate, Chan Zuckerberg Biohub
BioAlexandr Kalinin is a Senior Machine Learning Scientist in the Computational Imaging group at the Biohub. At the intersection of AI and bioimaging, his research focuses on developing foundational models for virtual staining and dynamic profiling of cells across biological scales and states. He holds a PhD in Bioinformatics from the University of Michigan (2018) and a Master’s degree in Applied Mathematics from Novosibirsk State Technical University, Russia. Before joining Biohub, Alexandr was a Computational Scientist II at the Imaging Platform, Broad Institute of MIT and Harvard. He also previously was a Fulbright Visiting Graduate Researcher at UCLA and an International Postdoctoral Fellow at Shenzhen Research Institute for Big Data, China.
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Kirill Olegovich Kalinin
Staff, Finance
Casual - Non-Exempt, Hoover InstitutionBioI am a political methodologist and comparativist with expertise in statistical analysis, machine learning, artificial intelligence, election forensics, survey methodology, and statistical software development. Since 2017, I have worked at Stanford University's Hoover Institution in various positions, including National Fellow, Researcher, and Data Analyst. Prior to joining Stanford, I studied and worked at the University of Michigan, where I earned my PhD in political science in 2017. For more information, please visit my website at www.kirillkalinin.com.
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Agnieszka Kalinowski
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioI am a translational physician-scientist committed to understanding the pathophysiology of schizophrenia to identify disease-modifying therapeutic interventions. I examined the role of C4 protein activation in clinical samples from individuals with schizophrenia compared to controls, its relationship to C4 CNV and effect on blood brain barrier permeability using in vitro model systems. I contributed to identifying LINE-1 insertions in postmortem brain samples of individuals with schizophrenia and C4 copy number variation (CNV) in pediatric patients with neuropsychiatric symptoms. Since accumulating evidence points to the synapses as the locus of pathology in schizophrenia, I am focusing my current research effort to defining the underlying abnormality in synapses in schizophrenia using a combination of in vitro iPS based model systems and postmortem brain samples, and applying cutting-edge techniques like spatial transcriptomics and array tomography.
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Nathan Kalinowski, D.M.D.
Clinical Assistant Professor, Surgery - Plastic & Reconstructive Surgery
BioDr. Nathan Kalinowski is a Hospital Dentist and Clinical Assistant Professor in Dental Medicine and Surgery. He performs medically necessary dental clearance and extractions for patients preparing for cardiac surgery, radiation therapy, or organ transplantation. He also performs surgical treatment of infection and trauma to the teeth and supporting alveolar bone including reconstruction using dental implants.
