Stanford University
Showing 14,141-14,160 of 34,423 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. Her work addresses a fundamental challenge in contemporary medicine: prevailing cohort-based diagnostic approaches are not always equipped to capture the biological mechanisms relevant to individual patients, particularly in long-pending, complex “outlier” cases.
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 not sufficient for the level of biological and clinical complexity being attempted, particularly for individual patients who lack relevant statistical cohorts. Her conclusion echoes the perspective of the mathematician Mikhail Gromov: “This area does not yet exist. It will have to be invented.” This gap has important clinical consequences: individual biological differences may be treated as “noise” or as "outliers" rather than as clinically meaningful information. As a result, many patients with complex or multi-system conditions remain undiagnosed or incorrectly diagnosed, sometimes for decades, delaying effective treatment and, in some cases, allowing disease processes to worsen.
Mathematical Medicine addresses these limitations by developing an intermediate translational layer between cohort-based statistical models and individualized multi-omic diagnosis and clinical decision-making. The approach reflects the data-first philosophy articulated by the late mathematician Jim Simons: “We don’t start with models. We start with data. We don’t have any preconceived notions.” By developing new mathematical frameworks for interpreting an individual’s genomic and multi-omic data, Mathematical Medicine seeks to seeks to let the data speak for itself while enabling quantitative, individualized diagnosis and clinical decision-making.
Sharada’s research has led to the diagnosis and identification of appropriate treatment pathways for patients with previously undiagnosed, complex conditions. These rare and atypical cases also reveal biological relationships not apparent in population-level analyses, leading to insights that can inform broader research, clinical applications, and drug development.
Further information on this field, including opportunities for early philanthropic partnerships, is available at: https://mathmed-2026.web.app -
Suman Kumar Kalavagunta
Graduate, Stanford Center for Professional Development
BioSuman is a technology and engineering leader with over 20 years of experience building and scaling large-scale platforms across commerce, payments, loyalty, and digital experiences. Most recently, he served as a Director of Engineering at Mastercard, leading engineering organizations responsible for platforms serving millions of users.
His interests include artificial intelligence, machine learning, distributed systems, platform architecture, and building technology that solves complex real-world problems. He is currently pursuing Stanford’s Artificial Intelligence Graduate Certificate to deepen his expertise in AI and its application to modern products and platforms.
Outside of technology, Suman is a lifelong chess player, former state champion in India, and co-founder of Chess Brains Academy, an initiative created from his passion for chess and education. -
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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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.
