Research:
LAURA LAURENTI
laura.laurenti@uniroma1.it
https://www.linkedin.com/in/lauralaurenti/ - Date of birth: 12/02/1997
Spoleto (PG) 06049, IT - Roma (RM) 00161, IT
EDUCATION
M.Sc. in “Data Science” LM-91 2019/10 - 2021/10
Sapienza - University of Rome, Faculty of Information Engineering, Informatics, and Statistics
Final grade: 110/110 cum laude, with participation in the Honors Program during the A.Y. 2020/2021
Final dissertation: "Deep Neural Networks for Predicting and Forecasting Laboratory Earthquakes "; subject: Advanced Machine Learning
24 CFU Certificate 2021/05
Sapienza - University of Rome
Additional university credits (CFU) related to basic skills in anthropo-psycho-pedagogical disciplines and in teaching methodologies and technologies.
B.Sc. in “Media Science and Technology” LT-35 2016/10 – 2019/10
Tor Vergata - University of Rome, Macro area of Mathematical, Physical and Natural Sciences
Final grade: 110/110 cum laude
Final dissertation: "Photorealistic 3D Rendering"; subject: Mathematical Methods in Computer Graphics
Teaching assistant for the course “Digital image processing” during the A.Y. 2017-2018
WORK EXPERIENCE
PhD in “Data Science” 11/2021 – present
Sapienza - University of Rome, Faculty of Information Engineering, Informatics, and Statistics
XXXVII Cycle with external scholarship funded by Earth Sciences Department
Tutoring and orientation activities for “Data Science” course
Sapienza - University of Rome, Faculty of Information Engineering, Informatics, and Statistics 12/2021 – 03/2022
Teaching assignment for the “Digital image processing” course 2020/11 – 2021/11
Tor Vergata - University of Rome, degree course “Media Science and Technology”, Term I
PHD EDUCATIONAL ACTIVITIES
Master Courses:
- Deep Learning from Fabrizio Silvestri - Master in Engineering in Computer Science
- Vision and Perception from Irene Amerini - Master in Artificial Intelligence and Robotic
PhD Courses:
- March 2022 - Digital Epidemiology. Organizers: Ciro Cattuto, Sebastiano Filetti, Stefano Leonardi
- April 2022 - Deep Learning Seminars. Organizers: Simone Scardapane, Fabrizio Silvestri
- May 2022 - Cultural Analytics. Organizers: Carlos Castillo and Giorgio Barnabò
- June 2022 - Foundations of Deep Learning. Organizers: Fabrizio Silvestri, Michael Bronstein
Conference:
- EGU General Assembly in Wien, May 2022 https://www.egu22.eu/, orally presenting my work ”Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress”.
Summer School:
- 25–28/07/2022 Geometric Deep Learning international summer school in Pescara (IT) https://www.sci.unich.it/geodeep2022/#home
SCIENTIFIC PRODUCTION
Laurenti, L., Tinti, E., Galasso, F., Franco, L., Marone, C. (2022). Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress. Earth and Planetary Science Letters, 598, 117825. https://doi.org/10.1016/j.epsl.2022.117825