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Polina Mamoshina
Data Science Specialist @Mckinsey & Co | Quantum Black | Former CSO and COO Deep Longevity
Professional Background
Polina Mamoshina is a highly skilled data scientist and groundbreaking researcher, recognized for her extensive contributions to the intersection of artificial intelligence and biotechnology. With a rich background in computer science and genetics, Polina has built a commendable career showcasing her expertise in data science through her roles in prominent organizations. Her tenure at QuantumBlack, AI by McKinsey, and McKinsey & Company has equipped her with the insights and skills necessary to lead innovative projects that harness data analysis in the service of improving human health and longevity.
In her most recent positions, Polina served as the Chief Scientist and Chief Operating Officer at Deep Longevity, where she deftly combined her scientific background with leadership to advance the development of age-related interventions through AI. Prior to this, she was at the forefront of biomarker development at Insilico Medicine, Inc., a pioneering company in drug discovery and development using artificial intelligence. Throughout her career, she has also held significant roles at Pharma.AI and various positions at Insilico Medicine, Inc., where she focused on skin aging and biogerontology.
Polina's journey began with a solid educational foundation, which propelled her into the world of scientific research and data analysis. Her multi-faceted career encompasses research, development, and consultancy roles, reflecting her versatility and dedication to impacting the future of medicine positively.
Education and Achievements
Polina Mamoshina pursued her academic career with vigor, laying the groundwork for her future achievements in biotechnology and data science. She completed her Bachelor's Degree in Genetics from Lomonosov Moscow State University (MSU), a prestigious institution known for cultivating some of the finest minds in science. Following her undergraduate education, she honed her focus on artificial intelligence in health and medicine by studying for a DPhil in Computer Science at the University of Oxford. This advanced education not only equipped her with rigorous analytical skills but also provided her with a unique perspective on the potential of AI technologies in transforming health outcomes.
Throughout her career, Polina has been instrumental in various research projects that bridge the gap between data and biological understanding. Her work has influenced the development of predictive models that aid in the assessment of health interventions and the understanding of aging processes. These contributions underscore her commitment to scientific excellence and innovation.
Achievements
Polina's professional journey is marked by numerous notable achievements and contributions to the field of data science and biotechnology. Here are some highlights:
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Leadership in Data Science: As the Chief Scientist and Chief Operating Officer at Deep Longevity, Polina has been key in steering the company towards innovative solutions in health and aging. Her leadership in applying AI technologies to longevity research is pioneering and speaks to her deep understanding of the scientific and operational demands of such groundbreaking work.
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Advancements in Biomarker Development: Serving as the Head of Biomarker Development at Insilico Medicine, Inc., Polina played a crucial role in developing cutting-edge methodologies to identify biomarkers that can lead to the early detection and treatment of age-related diseases.
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Research Contributions: Throughout her career, she has contributed to multiple publications and scientific papers, presenting her work on the application of AI in health sciences at various international conferences, establishing herself as an authority in the field.
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Mentorship and Training: Beyond her research and corporate roles, Polina has served as a mentor for emerging scientists and data analysts, fostering a collaborative environment that encourages learning and innovation.
With a profound academic background and an impressive portfolio of professional experiences, Polina Mamoshina is a prime example of how data science can transform the field of medicine and improve our understanding of health and longevity. Her journey illustrates the powerful convergence of genetics and artificial intelligence, making her a sought-after expert and leader in her field.
