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Katya Putintseva
Data Science Lead at LabGenius
Katya Putintseva is a prominent data scientist and co-founder of Briefly Bio, a startup focused on improving scientific communication through innovative software solutions. She has a robust background in protein engineering and machine learning, particularly in the context of developing therapeutic antibodies.
Professional Background
- Current Role: Katya serves as the Data Science Lead at LabGenius, where she has been instrumental in applying machine learning to explore protein fitness landscapes. Her work aims to enhance the discovery of novel therapeutic antibodies, leveraging a multidisciplinary approach that combines computer science, robotic automation, and synthetic biology.1
- Previous Experience: Before her current position, she held various roles at LabGenius, including Principal Data Scientist and Data Science Team Lead. In these roles, she was responsible for designing data strategies and leading teams focused on computational biology and data science projects.4
Education
Katya holds advanced degrees in both molecular biology and data science:
- Ph.D. in Molecular Biology from the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry.
- Master’s Degree in Data Science from Universitat de Barcelona.
- Master’s Degree in Human and Animal Physiology from Lomonosov Moscow State University.4
Contributions and Initiatives
In addition to her role at LabGenius, Katya is actively involved in addressing challenges related to scientific reproducibility through her work with Briefly Bio. This company aims to leverage AI technologies to enhance the standardization and sharing of experimental methods among scientists.2
Her diverse experience spans across research institutions and startups, where she has contributed significantly to the fields of adaptive immunity and protein evolution through both experimental and computational methodologies.4
Katya's commitment to improving scientific practices is evident in her efforts to mentor upcoming scientists and promote open science initiatives.23
