I am

boyu.fan@nyu.edu

Biostatistics Ph.D. Student at New York University.

Welcome!

I am an incoming Ph.D. student in Biostatistics at New York University, where I am fortunate to be advised by Professors Yajun Mei and Shu Xu ! I am exploring topics in image segmentation and uncertainty quantification. I aim to develop transparent and reliable methods to augment decision-making.

I completed my undergraduate studies at UC Berkeley, studying Data Science, Statistics, and Economics. I had the privilege of working with Professor Bin Yu , developing uncertainty quantification methods under the Predictability–Computability–Stability (PCS) framework to support trustworthy decision-making. I also worked as an undergraduate researcher at Lawrence Berkeley National Laboratory with Dr. Alex Sim , Dr. John Wu , and Professor Jinoh Kim , where I developed conditional LSTM models to analyze and predict networking performance. In addition, I was part of the BOBA Lab, working under the guidance of Professor Park Sinchaisri on research in Human–AI interaction.

Last Updated: Jul 2025

Selected Publications

• 2025
• PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
• Abhineet Agarwal, Michael Xiao, Rebecca Barter, Omer Ronen, Boyu Fan, Bin Yu
• arXiv preprint, in preparation for submission to PNAS

• 2025
• Conditional Recurrent Neural Networks for Enhancing Throughput Prediction and Slow File Transfers Detection in Large Science Workflows
• Boyu Fan, Alex Sim, Kesheng Wu, Jinoh
• CCNC 2025, Presented in person in Las Vegas, NV, USA