Stanford University
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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/ -
Devanish Narasimhasanth Kamtam
Visiting Instructor, Cardiothoracic Surgery - Thoracic Surgery
BioDr. Devanish Kamtam is a Visiting Instructor in the Division of Thoracic Surgery at Stanford University, working in Dr. Joseph Shrager's lab. His research focuses on surgical AI, AI in medical imaging, and clinical outcomes in Thoracic Surgery. He completed his MBBS at Gandhi Medical College, Hyderabad and MS in General Surgery at AIIMS New Delhi.
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Jeewon Sylvia Kim
Program Manager, SPARK at Stanford
Current Role at StanfordProgram manager for SPARK Translational Science Program overseeing educational seminar series, managing projects and facilitating SPARK global operations.
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Bruce Koch, Ph.D.
Senior Research Scientist-Basic Life, Sarafan ChEM-H
Current Role at StanfordDirector, ChEM-H/CSB High Throughput Screening Group
Staff Lead, IMA HTS Module
Adviser to the SPARK Program