About MeI am an Assistant Professor of Econometrics and Statistics at the University of Chicago, Booth School of Business.
I received the Ph.D. in Statistics from Harvard University under the supervision of Edo Airoldi, David Parkes and Don Rubin in 2016, and the MS in Computer Science (from Harvard) under the supervision of David Parkes in 2011.
My research is split in two areas. One area is causal inference in complex systems, such as networks, especially through model-free randomization methods. This is also known as randomization inference. I am also working on statistical machine learning, particularly on large-scale statistical inference through stochastic gradient descent (SGD) with stable implicit updates.
- 2016 - PhD in Statistics, Harvard University, Cambridge, USA.
- 2013 - MA in Statistics, Harvard University, Cambridge, USA.
- 2011 - MS in Computer Science, Harvard University, Cambridge, USA.
- 2006 - MEng in Electrical and Computer Engineering, Aristotle University, Thessaloniki, Greece.
- Jerry Chee, Panos Toulis, "Convergence diagnostics for stochastic gradient descent with constant step size", (AISTATS, 2018)
- Panos Toulis, Edoardo M. Airoldi, "Asymptotic and finite-sample properties of estimators based on stochastic gradients", (Annals of Statistics, 2017)