Jessica Lanini
Senior Data Science Expert, NovartisInstitutes for BioMedical Research
AI advancing drug discovery research in the pharmaceutical industry and academia
Jessica covers the synergies between academic and industrial research when it comes to applying AI and machine learning. She showcases how AI can enhance compound selection in the model life cycle: data preparation, model building, validation and deployment.
Jessica Lanini joined the CADD group at Novartis Institutes for Biomedical Research (NIBR) as a Data Scientist in 2020. She supports MedChem project teams with machine learning and deep learning tools to accelerate DMTA cycle and compound prioritization. She has an MSc in Bioengineering from Campus Bio-medico of Rome since 2014, with a master thesis at ETH, Zurich, on robot control systems and human experiments.
She earned her PhD in Intelligent Systems and Robotics at EPFL, Lausanne, in 2019, focusing on data analysis, modeling and control of bipedal physical interaction while walking.
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