CV

Education

• Ph.D in Bioinformatics, UCLA, 2026 (expected)
• B.S. in Math, Computer Science, Duke University, 2020

Work experience

• Summer 2019: Summer Intern, Broad Institute Summer Research Program (BSRP)
  • Broad Institute - Cancer Data Science
  • Applied feature extraction and data embedding techniques to CRISPR screen dependency data.
  • Supervisor: Dr. Joshua Dempster
• Summer 2018: Summer Intern, ACRES REU
  • Michigan State University
  • Applied transfer and deep learning techniques to genomic data to predict long-range enhancer-promoter interactions through protein-protein interactions.
  • Supervisor: Professor Jianrong Wang
• Summer 2017: Summer Intern, Oak Ridge National Laboratory
  • Oak Ridge National Laboratory
  • Applied deep learning and Generative Adversarial Networks to sparse neutrino image data for sparse database expansion and anomaly detection.
  • Supervisor: Dr. Steven Young

Publications

keju: powerful and accurate inference in Massively Parallel Reporter Assays

Albert Xue, Adam M Zahm, Justin English, Sriram Sankararaman, and Harold Pimentel (2026). "keju: powerful and accurate inference in Massively Parallel Reporter Assays." biorxiv.

A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis

Boyang Fu, Ali Pazokitoroudi, Zuozheng Shi, Asha Kar, Albert Xue, Akarsh Anand, Prateek Anand, Zhengtong Liu, Richard Border, Päivi Pajukanta, Noah Zaitlen, and Sriram Sankararaman (2025). "A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis." Nature Genetics.

Multiplexed Perturbation Enables Scalable Pooled Screens

Stefan Oberlin, Neil Tay, Albert Xue, Harold Pimentel, and Michael T McManus (2025). "Multiplexed Perturbation Enables Scalable Pooled Screens." biorxiv.

dotears: Scalable and consistent directed acyclic graph estimation using observational and interventional data

Albert Xue, Jingyou Rao, Sriram Sankararaman, and Harold Pimentel (2025). "dotears: Scalable and consistent directed acyclic graph estimation using observational and interventional data." iScience, Volume 28, Issue 2, 111673. doi.org/10.1016/j.isci.2024.111673.

Talks

dotears: Causal structure learning using interventional data

November 10, 2022

Platform Presentation at Biological Data Science, Cold Spring Harbor Laboratory, NY, USA

Posters

keju: powerful and accurate inference in Massively Parallel Reporter Assays

March 24, 2026

Poster at Berkeley, Berkeley, CA, USA

dotears: Scalable, consistent DAG estimation using observational and interventional data

May 08, 2024

Poster at NIHGRI, Seattle, WA, USA

Teaching

CM 121 - Introduction to Bioinformatics

Selected Honors and Awards

• Interdisciplinary Contest in Modeling (ICM) - Outstanding Winner (2019)
• ICM Leonhard Euler Award (2019)
• International COMAP Scholarship Award (2019)
• Duke Karl Menger Award (2019)