Biography
My current research interests are in the area of Human-Explainable, Robust, and COllaborative LEarning (see HERCOLE Lab). In addition, I am also fascinated by topics related to Web Search and Mining and Computational Advertising.
Interests
- travelling
- swimming & skiing (actually, any sport!)
- riding motorbike
Education
PhD in Computer Science, 2011
Ca' Foscari University of Venice, Italy
MSc in Computer Science, 2005
University of Pisa, Italy
BSc in Computer Science, 2002
University of Pisa, Italy
News
PhD in Data Science: 2023-24 Call for Application
The 2023-24 Call for Application to the PhD in Data Science at Sapienza University is open!
PhD in Data Science: 2021-22 Call for Application
The 2021-22 Call for Application to the PhD in Data Science at Sapienza University is open!
HERCOLE Lab
I am happy to announce that the Human-Explainable, Robust, and COllaborative LEarning (HERCOLE) Lab was officially launched today, August 26, 2021.
The research mission of the HERCOLE Lab is to make next-generation ML and AI systems more understandable to humans, resilient to adversarial attacks, and decentralized to edge devices.
Are you interested to join the team?
Feel free to drop me a message at tolomei@di.uniroma1.it or navigate through the menu sections (currently under construction!) for more information about past and ongoing research projects, and Bachelor/Master/Ph.D. thesis opportunities with the lab.
In the meantime, stay tuned and follow the official Twitter account @HercoleLab to keep you always up to date!
Lab Head
Collaborators
PhD Students
Undergraduate Students
Projects
ReLAX
A Reinforcement Learning Agent for Explaining Arbitrary Predictive Models
Recent Publications
Teaching
Systems and Networking [BSc Applied Computer Science and Artificial Intelligence]
Sapienza University of Rome
This is a second-year course of the BSc in Applied Computer Science and Artificial Intelligence.
More information, including syllabus and class material are available below (in english).
Theory of Algorithms [MSc Applied Mathematics]
Sapienza University of Rome
This is a first-year course of the MSc in Applied Mathematics.
More information, including syllabus and class material are available below (in english).
Big Data Computing [MSc Computer Science]
Sapienza University of Rome
This is a first-year course of the MSc in Computer Science.
More information, including syllabus and class material are available below (in english).
Operating Systems (Sistemi Operativi) [BSc Computer Science]
Sapienza University of Rome
This is a second-year course of the BSc in Computer Science.
More information, including syllabus and class material are available below (some of them in italian).
Python Programming for Data Science [MSc Data Science]
University of Padova
This is a first-year course of the MSc in Data Science.
More information, including syllabus, class material, and exercises are available below.
Other Courses
University of Padova
The following is a list of past courses which I cotaught:
- Programmazione I (Introduction to Computer Programming) [BSc Computer Science]
- Basi di Dati (Introduction to Databases) [BSc Computer Science]
Experience
Associate Professor
Sapienza University of Rome
Main Goals:
- Research activities on topics at the intersection of machine learning and computer security.
- Establishment of a multidisciplinary team focused on adversarial machine learning in collaboration with University of Padova and Ca’ Foscari University of Venice, Italy.
Assistant Professor
University of Padova
Main Goals:
- Research activities on topics at the intersection of machine learning and computer security.
- Establishment of a multidisciplinary team focused on adversarial machine learning in collaboration with Ca’ Foscari University of Venice, Italy.
Research Scientist
Yahoo Research
Main Goals:
- Improve the engagement of users with Gemini, the integrated Yahoo online advertising platform.
- Promote “high quality” advertisements using measures of post-click satisfaction, which go beyond traditional Click-Through Rate (CTR).
- Analyse large-scale datasets from distributed computing environments and mine interesting patterns via statistical/machine learning solutions.
- Design, implement, and test innovative prototypes into production buckets as response to internal challenges, in collaboration with Product and Engineering teams.
- Delivery results both internally and externally (e.g., research paper submissions to top conferences like SIGIR, KDD, CIKM, RecSys, WSDM, WWW, etc.)
Contact
- +39 06 4925 5475
- Viale Regina Elena, 295, Rome, 00161
- Building E - 1st Floor - Room 106
- Book an appointment
- Skype Me