I'm a Postdoctoral Fellow at Johns Hopkins University, supervised by Ilya Shpitser (JHU, computer science & biostats) and Eric Tchetgen Tchetgen (UPenn, statistics). I got my PhD from Carnegie Mellon University in December 2017. Before coming to CMU, I did my undergraduate studies at Columbia University.
I study causal inference: specifically, I develop statistical methods and machine learning tools to extract causal information from patterns in observational (i.e., non-experimental) data. These techniques are based on graphical models (e.g., Bayesian networks or related), which can support inference about treatment effects and counterfactuals, including social/economic policies and medical treatments. Research topics include structure learning, time series analysis, latent confounding, and missing data. I also have interests in the philosophy of science, especially methodology of the social sciences and the foundations of statistics.
At Hopkins I'm affiliated with the Malone Center for Engineering in Healthcare. I'm also connected to the Machine Learning Group and the Causal Inference Working Group. While at CMU I was a member of the algorithm development / data science research group in the Center for Causal Discovery.
Visit the research page for a look at some of my papers and presentations.
Contact:
malinsky {at} jhu {dot} edu
I study causal inference: specifically, I develop statistical methods and machine learning tools to extract causal information from patterns in observational (i.e., non-experimental) data. These techniques are based on graphical models (e.g., Bayesian networks or related), which can support inference about treatment effects and counterfactuals, including social/economic policies and medical treatments. Research topics include structure learning, time series analysis, latent confounding, and missing data. I also have interests in the philosophy of science, especially methodology of the social sciences and the foundations of statistics.
At Hopkins I'm affiliated with the Malone Center for Engineering in Healthcare. I'm also connected to the Machine Learning Group and the Causal Inference Working Group. While at CMU I was a member of the algorithm development / data science research group in the Center for Causal Discovery.
Visit the research page for a look at some of my papers and presentations.
Contact:
malinsky {at} jhu {dot} edu