Miklos Z. Racz
Assistant Professor ORFE
Affiliated Faculty CSML
Princeton University


204 Sherrerd Hall
Princeton, NJ 08544
(609) 258-8281
mracz at princeton dot edu

[ CV | Google Scholar profile ]

Brief bio

I am an Assistant Professor in the ORFE Department at Princeton University. I am also an affiliated faculty member at the Center for Statistics and Machine Learning (CSML). My research focuses on probability, statistics, and their applications.

Before coming to Princeton I spent two years as a postdoc in the Theory Group at Microsoft Research, Redmond. I received my PhD in Statistics from UC Berkeley in 2015, where I was advised by Elchanan Mossel. I also obtained an MS in Computer Science from Berkeley. Previously, I received an MS in Mathematics from the Budapest University of Technology and Economics, under the supervision of Marton Balazs and Balint Toth.

Research interests

I am interested in statistical inference problems in complex systems, in particular on random graphs and in genomics. I am also interested more broadly in applied probability, combinatorial statistics, information theory, interacting particle systems, and voting.

My research in statistical network analysis focuses on inferring temporal and geometric structure in networks. I recently taught a minicourse on basic models and questions in statistical network analysis which covers my recent work in this topic and more.

I also work on statistical error correction algorithms for DNA storage, part of a larger group effort with Microsoft and University of Washington researchers to make DNA storage a reality. We recently stored --- and then successfully retrieved --- a record 200 MB of data in DNA; a proof of concept for this exciting emerging technology.

Teaching

In Spring 2021 I am teaching ORF 387: Networks, an undergraduate course that showcases how networks are widespread in society, technology, and nature, via a mix of theory and applications.

Students

One of the best parts of being an academic is the opportunity to interact with and to mentor talented students. It is a pleasure to currently advise:

(PhD) Suqi Liu, Daniel Rigobon, Anirudh Sridhar
(Senior thesis) Isabella Faccone, Zachary Holecek, Alan Wong
(Undergraduate) Vydhourie R.T. Thiyageswaran

For a list of former students and more, see the Students tab.