Machine learning (ML) is receiving a huge amount of attention as a potential driver of discovery and innovation in an increasingly data rich world; however, the broad perception of ML, even within the scientific community, is often more the result of hype than reality. The purpose of this talk is twofold: in the first part, I will try to give a gentle introduction to ML, discussing its promise and limitations. Then I will move on to discuss how ML could be useful within a scientific context, and particularly in the life sciences, emphasizing the special constraints that using ML in a scientific biomedical environment is likely to require. Finally, I will give a recent example from my own work, on how we developed novel ML models to study RNA splicing in single cells.
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Machine learning in the life sciences
Speaker:
Prof. Guido Sanguinetti
Schedule:
Tuesday, June 26, 2018 - 11:00
Location:
A-128
Abstract:
Openings
- Call of interest for positions in mathematics at SISSA
- Public Calls for Professors
- Temporary Researchers
- Post Doctoral Fellowships
- Open positions in MathLab
- SISSA Mathematical Fellowships
- PhD Scolarships
- SIS Fellowships
- Pre-PhD Fellowships
- MSc in Mathematics
- Master Degree in Data Science and Scientific Computing
- Professional Master Courses
- SISSA Mathematics Medals
Upcoming events
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Valentina Beorchia, Valeria Chiadò Piat, Maria Strazullo
SISSA Women in Mathematics 2024
Monday, May 13, 2024 - 14:15
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Antonio De Rosa
Min-max construction of anisotropic CMC surfaces
Thursday, May 16, 2024 - 14:00 to 16:00
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Mattia Fogagnolo
TBA
Thursday, May 30, 2024 - 14:00 to 16:00
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Marco Pozzetta
TBA
Thursday, June 13, 2024 - 14:00 to 15:00
Today's Lectures
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10:15 to 13:00
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11:00 to 13:00
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14:15 to 16:00
Recent publications
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G.P. Leonardi; G. Saracco,Rigidity and trace properties...
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R. Marchello; A. Colombi; L. Preziosi; C. Giverso,A non local model for cell mig...
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I. Prusak; D. Torlo; M. Nonino; G. Rozza,Optimisation–Based Coupling of...
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A.Surya Boiardi; R. Marchello,Breaking the left-right symmet...