Andy Shen
Statistics PhD Student at UC Berkeley
I am a fourth year PhD Candidate in Statistics at UC Berkeley. I am advised by Haiyan Huang and Sam Pimentel, and I also work with Avi Feller. I graduated from UCLA in June 2021 with my B.S. in Statistics.
My research is motivated by causal inference problems in health policy and medicine. I am interested in developing methods to help scientists make robust and transparent causal claims. I am also interested in solving data-driven problems using causal inference, machine learning, and survival analysis. My research is supported by the NSF Graduate Research Fellowship.
Feel free to connect with me via email or LinkedIn.
Recent News
May 2025: Our paper on analyzing multiple sclerosis progression with volumetric MRI has been accepted in Computational and Structural Biotechnology Journal!
February 2025: Our paper on sensitivity analysis for causal decompositions is published in Statistics in Medicine!
January 2025: Our paper on sensitivity analysis for causal decompositions received student paper awards for the 2025 International Conference on Health Policy Statistics and the 2025 Joint Statistical Meetings.