Nadia Kadakova is a data scientist and co-founder serving as CPO of Trajecta, where she builds a real-time clinical evidence platform that delivers explainable, patient-specific research-grade insights within hospital infrastructure. With eight years of experience across startups, healthcare consultancies, and academic labs, she blends expertise in real-world evidence, causal inference, clinical informatics (HL7/FHIR, OMOP), and bioinformatics to turn messy clinical data into actionable models. Her background includes applied R&D for Fortune 500 healthcare clients at EPAM and research collaborations at USC, giving her a rare mix of product leadership and technical depth in clinical AI. Passionate about ML and neuro-related AI, she also contributes to data standardization efforts and digital biomarker discovery—often focusing on explainability and deployability rather than just model accuracy.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Data Science; Bioinformatics, Master of Science - MS, Data Science; Bioinformatics at University of Southern California
Bachelor's degree, Applied Mathematics, Data Science, Bachelor's degree, Applied Mathematics, Data Science at Belarusian State University
Summer internship, Mathematics, Summer internship, Mathematics at Otto-von-Guericke University Magdeburg
Center of Mathematical Finance
Leadership, Entrepreneurship, Leadership, Entrepreneurship at Wake Forest University
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