Linda Bianchini
Data Scientist at NANO SENSOR SYSTEMS srl- Claim this Profile
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Bio
Experience
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NANO SENSOR SYSTEMS srl
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Italy
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Semiconductor Manufacturing
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1 - 100 Employee
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Data Scientist
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Jan 2023 - Present
I am involved in the analysis of multivariate time series produced by MOX sensors, which vary their resistence based on chemical reaction with volatile compounds. I work in python applying machine learning models.
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Extracurricular trainee
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Sep 2022 - Jan 2023
I was in charge of analyzing data extracted from a MOX (Metal-Oxide) gas sensor array, called an electronic nose, which can detect volatile organic compounds in the air. I make the sensor array effectively an electronic nose, capable of recognizing foods under different chemical conditions and more, through the use of Machine Learning.
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Istituto Oncologico Veneto IOV - IRCCS
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Italy
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Hospitals and Health Care
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400 - 500 Employee
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Master's trainee
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Oct 2021 - Jun 2022
Study of radiotherapy images for predicting treatment plan quality (QA) through automatic learning of 3D dose maps (Discipline called Dosiomics, closely related to Radiomics). Images are a source of data: through texture and intensity parameters, information on the difference between treatment plans can be derived. Study of radiotherapy images for predicting treatment plan quality (QA) through automatic learning of 3D dose maps (Discipline called Dosiomics, closely related to Radiomics). Images are a source of data: through texture and intensity parameters, information on the difference between treatment plans can be derived.
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INFN
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Research Services
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700 & Above Employee
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Bachelor's trainee
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Jun 2020 - Jul 2020
I performed a test of a graphitized diamond circuit board to verify its temporal performance. The purpose was to improve the current temporal performance of sensors at LHCb, the accelerator at CERN in Geneva, for a future upgrade of the same I performed a test of a graphitized diamond circuit board to verify its temporal performance. The purpose was to improve the current temporal performance of sensors at LHCb, the accelerator at CERN in Geneva, for a future upgrade of the same
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Education
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Università degli Studi di Torino
Laurea Magistrale LM, Fisica -
Università degli Studi di Modena e Reggio Emilia
laurea triennale in fisica, nessuna -
Liceo classico Rinaldo Corso
High School Diploma, Lettere/Studi umanistici