Sofia Kapsiani
PHD Student at Cambridge University Department of Chemical Engineering and Biotechnology- Claim this Profile
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English Full professional proficiency
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Greek Native or bilingual proficiency
Topline Score
Bio
Credentials
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Intermediate Python for Data Science
DataCampAug, 2019- Sep, 2024 -
Introduction to Python
DataCampJul, 2019- Sep, 2024 -
Machine Learning by Andrew Ng
Stanford UniversityMay, 2019- Sep, 2024
Experience
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Cambridge University Department of Chemical Engineering and Biotechnology
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United Kingdom
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Higher Education
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1 - 100 Employee
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PHD Student
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Oct 2022 - Present
• PhD student in the Molecular Neuroscience Group. • Project: "Developing a biosensor toolbox for monitoring cellular events upon drug exposure" • Demonstrator for MPhil in Biotechnology practical supervising analysis of microscopy images • Supervisor for the Biophysics module undertaken by CET IIB, MRes and MPhil students • PhD student in the Molecular Neuroscience Group. • Project: "Developing a biosensor toolbox for monitoring cellular events upon drug exposure" • Demonstrator for MPhil in Biotechnology practical supervising analysis of microscopy images • Supervisor for the Biophysics module undertaken by CET IIB, MRes and MPhil students
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AstraZeneca
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United Kingdom
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Pharmaceutical Manufacturing
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700 & Above Employee
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PHD Student
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Oct 2022 - Present
• Associated with Bioassay Development Group • Fully funded MRes+PhD scholarship • Associated with Bioassay Development Group • Fully funded MRes+PhD scholarship
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Imperial College London
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Research Services
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700 & Above Employee
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Postgraduate Researcher
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Jun 2021 - Sep 2021
• Postgraduate researcher at Dr Tanaka's at the Department of Bioengineering • Built CNN with U-Net architecture for semantic segmentation of fungi infection regions within histology images • Applied data augmentations (geometric and photometric) to improve the generalisation abilities of the neural network • Achieved a dice similarity coefficient of 81% • Postgraduate researcher at Dr Tanaka's at the Department of Bioengineering • Built CNN with U-Net architecture for semantic segmentation of fungi infection regions within histology images • Applied data augmentations (geometric and photometric) to improve the generalisation abilities of the neural network • Achieved a dice similarity coefficient of 81%
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European Bioinformatics Institute | EMBL-EBI
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United Kingdom
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Software Development
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700 & Above Employee
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Research internship (Machine learning)
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Jun 2020 - Aug 2020
• Research internship with Dr Andrew Leach's group on the analysis of protein-molecule activities extracted from the ChEMBL database. • Trained random forest and multilayer perceptron network models using the activities of 758 compounds on the tyrosine-protein kinase ABL1. The balanced accuracy scores achieved were 73% and 75% respectively. • Built a deep multi-task neural network based on the activities of 31,674 compounds on 112 human protein targets. The model's balanced accuracy score was 82%. Show less
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Microsoft Learn Student Ambassadors
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Telecommunications
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300 - 400 Employee
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Microsoft Student Ambassador
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Sep 2019 - Jul 2020
• Representative of Microsoft on campus. • Organisation of workshops and seminars to covey knowledge of programming and machine learning technologies, such as Azure ML studio, to fellow students. • Representative of Microsoft on campus. • Organisation of workshops and seminars to covey knowledge of programming and machine learning technologies, such as Azure ML studio, to fellow students.
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University of Cambridge
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United Kingdom
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Research Services
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700 & Above Employee
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Undergraduate Visiting Researcher
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Jul 2019 - Sep 2019
• Research internship with Dr Andreas Bender’s group in the Centre for Molecular Informatics. • Applied statistical techniques such as mutual information and multidimensional scaling, in Python, to investigate compounds that can be used together with antibiotics to break resistance in bacteria. • Identified key molecular fingerprints and biological targets that were correlated with a compound acting as an antibiotic resistance breaker. • Research internship with Dr Andreas Bender’s group in the Centre for Molecular Informatics. • Applied statistical techniques such as mutual information and multidimensional scaling, in Python, to investigate compounds that can be used together with antibiotics to break resistance in bacteria. • Identified key molecular fingerprints and biological targets that were correlated with a compound acting as an antibiotic resistance breaker.
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Crescent Pharma Ltd
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United Kingdom
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Pharmaceutical Manufacturing
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1 - 100 Employee
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Placement Year
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Jul 2018 - Jul 2019
• Processed and responded to over 100 medical enquires, adverse drug reactions, and customer complaints. • Liaised with suppliers regarding quality and batch-related issues, both in the UK and overseas. • Trained full-time employees on batch reviewing and handling customer queries. • Developed the SOSTAC marketing planning model for 12 of the products and conducted market research to identify potential new launches. • Author at Crescent Pharma website, writing blogs with a science and health focus to increase the online presence of the products, as well as, build customer loyalty. Show less
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Pharmacy Intern
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Jul 2017 - Jul 2017
• Responsible for the production of homoeopathic drugs, therapeutic creams and custom-made products • Responsible for the production of homoeopathic drugs, therapeutic creams and custom-made products
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Education
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2021 - 2022
University of Cambridge
MRes in Sensor Technologies for a Healthy and Sustainable Future -
2020 - 2021
Imperial College London
Master of Science - MSc, Bioinformatics and Theoretical Systems Biology -
2016 - 2020
University of Surrey
Bachelor of Science (B.Sc.), Chemistry -
2014 - 2016
Hellenic American Educational Foundation Athens College - Psychico College
International Baccalaureate
Community
