Giulia Cantini

Experience

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  Dipartimento di Informatica - Scienza e Ingegneria, Università di Bologna

  Dec 2016 - Feb 2017

  Part-Time Collaboration ER.GO

  IT help for students and staff within the computer labs

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  Data Reply IT

  Jun 2020 - Feb 2021

  Machine Learning Engineer

  - Developed ETL pipelines for data integration purposes, using the Big Data services available on the Google Cloud Platform (BigQuery, SQL)- Analyzed and developed forecasting models for prediction of sales trends using proprietary data with machine learning (linear regression, RFs, XGBoost)- Deployed models and created dashboards as visualization to monitor sales

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  DataHow AG

  Mar 2021 - Sept 2021

  Machine Learning Engineer

  - Developed software solutions (digital twins) in MATLAB and Python to support and optimise bioprocesses in pharma research & manufacturing- Applied ML techniques for forecasting and anomaly detection (Gaussian processes, PCA)

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  Helmholtz Munich

  Sept 2021 - now

  Doctoral Researcher

  Computational methods for RNA-binding proteins in the context of post-transcriptional regulation in T cells- Conducted bulk RNA-seq and CLIP-seq analyses on transcriptomic data using Python (Snakemake) and R pipelines- Applied predictive and generative deep learning models to investigate RNA-related processes including sequence design for vaccine optimization and discovery of novel RNA-targeting small molecules- Led research projects, supervised Master’s and Bachelor’s students from university courses or to write thesis projects Show less

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  Merck Group

  Jun 2023 - Jun 2023

  Merck Innovation Cup - Member of Team AI

  Placed 2nd with a project proposal on drug target discovery with deep learning- Accepted as top 1% applicant worldwide- Learned about R&D and processes in the pharma industry- Generated and pitched a business use case in front of Merck stakeholders