Ziqing Pan

PhD Candidate · Cornell University · Computational Biology

I am a PhD candidate working on computational biology. My work sits at the intersection of human statistical genetics, population genetics, machine learning and genomics, with a focus on developing efficient algorithms for analyzing large-scale biological data.

I am advised by Prof. April Wei and affiliated with the department of Computational Biology at Cornell University. Previously, I studied at Sun Yat-sen University, UC Berkeley, UCLA and Columbia University.

Ziqing Pan

Publications

Projects

GRG

GRG is a graph-based encoding that enables fast and efficient whole-genome analysis in large-scale biobanks, addressing the challenges of scalability and performance in WGS data processing.

GitHub →

Grapp

Grapp is a GRG-based library for tackling problems in statistical and population genetics.

GitHub →

Alvari

Alvari enables ridge regression for whole-genome variants, providing accurate polygenic score prediction and causal inference simultaneously.

GitHub →

plotkit

plotkit is a versatile plotting library designed for creating publication-quality graphics in python.

GitHub →

CV

Education

2022 – Present
Ph.D. in Computational Biology Cornell University · Advisor: Prof. April Wei
2016 – 2020
B.S. in Biotechnology Sun Yat-sen University

Experience

2020 – 2021
Research Assistant Xu Lab, Chinese Academy of Sciences in Shanghai

Awards & Honors

2026
Best Poster Award GLAM-EvoGen 2026
2025
CVG ScholarCVG Cornell University