Eduardo Sany Laber

Eduardo Sany Laber is an Associate Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), with over two decades of academic and industrial experience. He completed his undergraduate (1996), master's (1997), and doctorate (1999) at PUC-Rio, focusing on data compression. Since 2001, he has been a faculty member, with visiting roles at Carnegie Mellon University (2001-2002).

• Education:
  • PhD in Computer Science (1999), PUC-Rio
  • Master in Computer Science (1997), PUC-Rio
  • BSc in Computer Engineering (1996), PUC-Rio

His research centers on designing algorithms with theoretical guarantees for problems in data compression, machine learning, and finance, combining optimization, information theory, and industrial applications. His recent work explores connections between k-means and decision trees, alongside information-theoretic clustering.

The 15 most recent publications highlight his focus on algorithm efficiency, spanning machine learning, information retrieval, and combinatorial optimization. Notable venues include ICML, ECAI, and ISAAC, with applications in finance, data analysis, and web engineering.

• Scientific Awards:
  • Gold Medal, Brazilian Math Olympiad (1990)
  • Bronze Medal, International Math Olympiad (1991)
  • First Prize, Brazilian Computer Society PhD Thesis Contest (2000, 2004 co-advisor)
  • Affiliated Member, Brazilian Academy of Sciences (2008)
  • Best Paper Award, ISAAC (2015)

Laber supervises PhD and Master's students intensively, including recipients of national awards like the Brazilian Computer Society's First Prize for Marco Molinaro's Master's Dissertation (2009) and Second Prize for Renato Carmo's PhD Thesis (2006). He is a CNPq Level 1 Researcher and collaborates with the Greyhounds Laboratory.