Andy Shen
Statistics PhD Student at UC Berkeley
I am a fifth and final 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 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.
I am seeking full-time roles starting in mid-2026. Please feel free to connect with me via email or LinkedIn.
Recent News
May 2025: I started my internship at Genentech in the Product Development Data Sciences group.
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.