Rohit Bhattacharya


Mere data makes a man —
A and C and T and G.
The alphabet of you —
All from four symbols.
I am only two — 1 and 0.

I am currently a PhD student in the Department of Computer Science at Johns Hopkins University, advised by Ilya Shpitser. The primary focus of my research is methods development for causal inference. I am also interested in the application of techniques in causal inference and machine learning to the analysis of complex genomic datasets to improve patient outcomes.

My email address is the first letter of my first name concatenated with my last name at jhu.edu.

News

Our poster on Identification In Missing Data Models Represented By Directed Acyclic Graphs (below) won the Thomas R. Ten Have award at ACIC, Montréal. This means that Razieh Nabi and I will be giving a joint talk at ACIC next year in Austin, Texas.


Presenting a poster on Identification In Missing Data Models Represented By Directed Acyclic Graphs at ACIC, Montréal.
Joint work with Razieh Nabi, Ilya Shpitser, and James M. Robins.


Presenting a poster on Causal Inference Under Interference And Network Uncertainty at ACIC, Montréal.
Joint work with Daniel Malinsky, and Ilya Shpitser.


Both of the works above have been accepted as papers to UAI 2019 :)