Aitia
Deepanshi Shokeen is a Senior Data Scientist specializing in Precision Medicine at Aitia since September 2020, where responsibilities include designing and implementing predictive and causal models, conducting A/B tests on biomarkers, and scaling models for multiple use cases. Prior experience includes roles as a Data Scientist at Havrda Lab, Dartmouth College, focusing on Differential Gene Expression analysis and single-cell RNA sequencing data for Parkinson Disease research, and as a Data Science Research Assistant at Bregman Media Labs, where assessments were made on the impact of music on epileptic patients. Additional research experience includes a Graduate Research Assistant position at Contextual Dynamics Lab, involving trajectory analysis of academic interests, and an internship as a Business Analyst at Bata India Limited, contributing to cost reductions and profitability recommendations. Deepanshi holds a Master's degree in Health Data Science from Dartmouth College and a Bachelor's degree in Economics from Delhi University.
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Aitia
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Aitia is the leader in the application of Causal AI and Digital Twins to discover the next generation of breakthrough drugs. By leveraging the convergence of multi-omic patient data, high-performance computing, and causal learning and AI, Aitia is revealing the hidden biological mechanisms of disease to create Digital Twins of disease in oncology,neurodegenerative disorders, and immunology. Gemini Digital Twins are being used today to discover novel therapies and accelerate R&D in multiple myeloma, prostate cancer, Alzheimer’s Disease, Parkinson’s Disease, and Huntington’s Disease, with several more in development. Aitia’s partners include seven of the top ten pharmaceutical companies, leading academic research and medical centers, medical societies, leading multi-omic data companies, and patient advocacy groups globally.