Cristiano Torezzan

Short Bio:

I'm a Brazilian applied mathematician working as an associate professor in the School of Applied Sciences (FCA) at Univesity of Campinas (UNICAMP), in Limeira, Brazil. I received a PhD degree in Applied Mathematics from the University of Campinas (2009) and a degree in Mathematics from the University of the State of Mato Grosso, Brazil (1999). In 2016, I received the UNICAMP Teacher Recognition Award and, in 2018, I was honored at the Limeira City Council with the title of Innovative University Professor. From 2013 and 2017 I coordinated the Professional Master's Degree in Applied and Computational Mathematics at IMECC-UNICAMP and from 2017 and 2021 I coordinated the Regional Administration of the UNICAMP Campuses of Limeira and Piracicaba (SAR). Since 2017, I have been part of the board of the Brazilian Society for Operational Research (SOBRAPO) and currently I serve as the 2nd vice president of this Society. I'm also member of the Laboratory of Data Analysis and Decision Aiding (LAD2/CPO) and I have actively collaborated, since the beginning, in the design and structuring of the Brazilian Institute of Data Science (BI0S).

Research:

My research interests orbit around the intersection of two broad areas: data science and operations research. I have been working on problems involving optimization, machine learning, multicriteria decision and preference modeling. I have also worked in the field of information theory, particularly in geometric aspects involving lattices and spherical codes. In general, I consider myself an applied mathematician excited to collaborate on interdisciplinary projects that can impact society.

Machine Learning (ML):

• ML methods for tabular data

• Fair and Interpretable ML

• Applications: medicine, finance, industry.

Multiple-criteria decision analysis (MCDA):

• Preference modeling using MCDA methods

• Unsupervised (data-driven) approaches for MCDA

• Missing data in decision analysis

• Applications: sport sciences, finance, supplier selection, industry, and government decision aiding.

Optimization:

• Matrix completion: methods and applications

• Heuristics for global optimization

• Linear and nonlinear programming

• Applications: distance geometry, sports, logistics, industry.

Publications:

You can check an updated list of my publications at my Google Scholar.

More information about projects, students and collaborations can be found in my Lattes CV (in Portuguese).

Teaching:

Undergraduate:

• Calculus

• Numerical methods

• Introduction to data science and information

• Introduction to machine learning and decision aiding

• Statistics

• Math for health sciences

• Fundamentals of poker

Undergraduate:

• Mutiple-criteria decision aiding

• Introduction to Operations Research

• Linear algebra and matrix computation

• Numerical Analysis

• Multivariable Calculus

Contact:

e-mail: torezzan(at)unicamp.br

Faculdade de Ciências Aplicadas - Unicamp

Rua Pedro Zaccaria, 1300. Jd. Sta Luiza.

Limeira, SP - CEP: 13484-350