Katya Putintseva work email
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Katya Putintseva personal email
Katya Putintseva is a Co-Founder, Product at Briefly Bio. She possess expertise in molecular biology, biochemistry, machine learning, deep learning, data analysis and 10 more skills.
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Co-Founder, ProductBriefly BioLondon, Gb
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Co-FounderBriefly Bio Sep 2022 - PresentLondon, England, GbBriefly, we’re building a tool to help scientists capture, share and collaborate on their experimental work.
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Co-Founder, Data ScienceShk Bio Jun 2022 - Sep 2022We help data-driven biotech startups with their automation and data strategy.I work on finding the best ways of generating and using biological data for achieving the business goals, as well as wrapping the strategy and results into a visual story. -
Principal Data ScientistLabgenius Nov 2020 - Apr 2022London, Uk, GbOver the past couple of years, the company grew from 15 to 60 people and branched out into a new disease area, protein format and other stages of drug discovery. In this role, I was working together with the senior management and project leads to design the data strategy for the company going forwards and to put these plans into action. -
Data Science Team LeadLabgenius Jan 2020 - Apr 2022London, Uk, GbAs the company grew, my responsibility was to plan, hire and lead a team of computational biologists and data scientists. Which meant switching gears from being the main IC to technically managing a team of 5 people.Here are some things I did:- Hired junior to senior computational biologists and data scientists;- Planned and coordinated work across the Data and with the wider RnD teams;- Designed and implemented team processes for better efficiency, quality and scaling; - Mentored and grew the team members, - Represented the team's work both internally and externally, for instance here [shorturl.at/dyCIQ] and here [shorturl.at/iqrxT].
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Project LeadLabgenius Apr 2019 - Jun 2020London, Uk, GbCo-designed and co-led an RnD project aimed at developing the core technology of our platform, patent here [shorturl.at/hrF79]. Within this project, we combined experimental and computational biology, lab automation, and machine learning. We have successfully delivered the technology and subsequently used it for asset development in our partnerships.
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Data ScientistLabgenius Nov 2018 - Apr 2019London, Uk, GbDesigned the data processing pipeline and sequence-to-fitness modelling framework for describing protein fitness landscapes based on the empirically tested protein variants. I was also heavily involved in our Series A fundraising, packaging up and pitching our results and plans to the potential investors.
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Co-FounderVot Design 2015 - 2022We founded this studio to help academic labs and small startups with visual communication of science. The complexity of the subject, as well as the rarity of design and science skills overlap, leads to important information being lost in translation. Over the past few years, we worked with various small biotech startups, academic labs and non-profits to improve their visual communication and to help make science look good. -
Postdoctoral ResearcherInstitute Of Science And Technology Austria Sep 2017 - Nov 2018Klosterneuburg, AtI worked on applying deep learning to protein evolution. Using data from directed evolution experiments, I was building deep learning-based tools to understand the basic concepts and patterns of protein evolution and to predict new improved variants. -
Postdoctoral ResearcherCentre For Genomic Regulation (Crg) 2015 - Sep 2017Barcelona, Barcelona, EsMain research topics: 1) Machine learning application for understanding the sequence-to-function relationship in proteins using experimental data.2) Analysis of functional tRNA sequence space using mathematical modelling and machine learning techniques.3) Human T-cell receptor diversity analysis for understanding the nature of protein fitness landscapes. -
Researcher Phd StudentShemyakin-Ovchinnikov Institute Of Bioorganic Chemistry, Ras 2011 - 2015RuThe topic of my PhD thesis was ageing and heritability of human adaptive immune system. During my time here, I experimentally generated and analysed NGS data of human immune repertoires, as well as participated in developing computational pipelines for adaptive immunity data analysis. I also worked on novel DNA technologies for adaptive immunity research based on microfluidics and single-cell sequencing. -
Student ResearcherLomonosov Moscow State University 2008 - 2010Moscow, RuMy undergrad thesis was on engineering of genetically encodable calcium sensors based on fluorescent proteins. I engineered and screened large libraries of circularly permuted protein variants in order to find a sensor that would be more suitable for in vivo studies.
Katya Putintseva Skills
Katya Putintseva Education Details
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Universitat De BarcelonaData Science -
Shemyakin-Ovchinnikov Institute Of Bioorganic Chemistry, RasMolecular And Computational Immunology
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British Higher School Of Art And DesignGraphic Design
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Lomonosov Moscow State University (Msu)Human And Animal Physiology
Frequently Asked Questions about Katya Putintseva
What company does Katya Putintseva work for?
Katya Putintseva works for Briefly Bio
What is Katya Putintseva's role at the current company?
Katya Putintseva's current role is Co-Founder, Product.
What is Katya Putintseva's email address?
Katya Putintseva's email address is ka****@****geni.us
What schools did Katya Putintseva attend?
Katya Putintseva attended Universitat De Barcelona, Shemyakin-Ovchinnikov Institute Of Bioorganic Chemistry, Ras, British Higher School Of Art And Design, Lomonosov Moscow State University (Msu).
What skills is Katya Putintseva known for?
Katya Putintseva has skills like Molecular Biology, Biochemistry, Machine Learning, Deep Learning, Data Analysis, Biotechnology, Immunology, Graphic Design, Bioinformatics, Statistics, Python, Tensorflow.
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