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Charalampos E. Tsourakakis
Postdoctoral Fellow

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Harvard School of Engineering and Applied Sciences
Postdoctoral Fellow
Maxwell Dworkin
33 Oxford St.
Cambridge, MA 02138
babis@seas.harvard.edu
September 2014-August 2016

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Brown University
Institute for Computational and Experimental Research in Mathematics
Postdoctoral Fellow
ICERM Semester Program on “Network Science and Graph Algorithms”
January 2014-August 2014

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Ph.D Program: Algorithms, Combinatorics and Optimization (ACO)
Thesis advisor: Professor Alan Frieze, Carnegie Mellon University
PhD Dissertation: Mathematical and Algorithmic Analysis of Network and Biological Data
2010-2013

News

I will be an assistant professor at Boston University. I am looking for graduate students.
Please send me an email with your CV if you are interested in working with me.

About me

I am a Postdoctoral Fellow of the Center for Research on Computation and Society (CRCS) at Harvard University.
I am also affiliated with the Theory of Computation Group, the EconCS Group, and Berkman center for Internet & Society.
Here at Harvard University, I work closely with Professor Michael Mitzenmacher and Professor David Parkes.
Before joining Harvard, I was a Postdoctoral Fellow at Brown University (CS and ICERM) where I had the fortune
to work with Professor Eli Upfal.

I obtained my Ph.D. from the ACO program and a MSc from the Machine Learning program, both from Carnegie Mellon University.
I carried out my dissertation Mathematical and Algorithmic Analysis of Network and Biological Data under
the supervision of Professor Alan Frieze. With respect to the biological side, I was fortunate to collaborate with Professor Russell Schwartz,
MD Stanley Shackney and Professor Gary Miller on a computational biology project. Specifically, I developed computational methods for
mining various types of cancer datasets including aCGH, microarray and FISH datasets.
I have worked with Professor Christos Faloutsos on the PEGASUS project, which is now used by Microsoft.
I have worked at Yahoo! Research and Microsoft Research in the past. My work at Microsoft was one of their research highlights.
I did my undergraduate studies in Electrical and Computer Engineering at the National Technical University of Athens.

Research interests

My main research interest lies in data-driven algorithmics and applications. Specifically, I am interested in the theoretical foundations of data science,
and in applications involving data-driven discovery. Application domains I am interested in include social networks, the World Wide Web and healthcare.

  1. Big data analytics

    1. Methods, efficient algorithms, theory and implementations to analyze large datasets

    2. Single-pass streaming algorithms for real-time analytics

  2. Graphs and networks

    1. Theory: Graph theory, random graphs and graph algorithms

    2. Applications: Mining real-world datasets, including the Web graph, social networks and biological datasets

  3. Pattern theory

    1. Efficient optimization techniques

    2. Machine learning and data mining

    3. Bayesian probability theory