Hugo Future Imperfect Slim

Gillian Chu

(Last updated April 15 2023). Resume in PDF form here.


  • Princeton University
    • PhD in Computer Science
  • The University of Illinois at Urbana-Champaign
    • Master of Science in the Program of Ecology, Evolution and Conservation - Master Thesis: “Performing Phylogenetic Placement at Scale”
  • The University of California, Berkeley
    • Bachelor’s in Computer Science
  • Phillips Exeter Academy
    • High School Diploma

Honors & Fellowships

  • RECOMB-CCB Scientific Communications (2022) 1st Place (Awarded $200).
  • Genetics Society of America: Presidential Membership Initiative (2022). Awarded 1-year membership to GSA, Early Career Leadership Program and GENETICS Peer Review Training Program.
  • NSF GRFP (5 years), 2021: Three-year annual stipend of $34,000.
  • Excellent Graduate Student Instructor, UIUC. Spring 2021. Introduction to Programming for Engineers and Scientists (CS101).


  1. Wang, Yongge, et al. “Sperax: An Approach To Defeat Long Range Attacks In Blockchains.” IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2020.

  2. Tournebize, R., Chu, G. and Moorjani, P., 2022. Reconstructing the history of founder events using genome-wide patterns of allele sharing across individuals. PLoS Genetics, 18(6), p.e1010243.

  3. Lalani, Z., Chu, G., Hsu, S., Zaccaria, S. and El-Kebir, M., 2022. User-guided local and global copy-number segmentation for tumor sequencing data. RECOMB-CCB.

  4. Lalani, Z., Chu, G., Hsu, S., Kagawa, S., Xiang, M., Zaccaria, S. and El-Kebir, M., 2022. CNAViz: An interactive webtool for user-guided segmentation of tumor DNA sequencing data. PLOS Computational Biology, 18(10), p.e1010614.

  5. Park, M., Ivanovic, S., Chu, G., Shen, C. and Warnow, T., 2022. UPP2: Fast and Accurate Alignment Estimation of Datasets with Fragmentary Sequences. Bioinformatics.

  6. Chu, G., and Warnow, T. “SCAMPP+ FastTree: Improving Scalability for Likelihood-based Phylogenetic Placement.” Bioinformatics Advances (2023): vbad008.

Professional Experience

  • Consensys, Software Engineering Internship
  • Databricks, Software Engineering Internship

Teaching Experience


  • Intro to Programming for Engineers and Scientists (CS101)

University of California, Berkeley

  • Bioinformatics Bootcamp

  • Operating Systems and System Programming (CS162)

  • Efficient Algorithms and Intractable Problems (CS170)

  • Dicrete Mathematics and Probability (CS70)

  • Building with Blockchain for Web 3.0

  • Blockchain Fundamentals

  • Blockchain for Enterprise

  • Blockchain for Lawyers

  • EdX Blockchain Fundamentals

Community Service

  • Shield the Bay
  • Berkeley ANova


Hi, I'm Gillian. I'm a PhD student in Computer Science at Princeton University, specializing in computational biology. Right now, I'm thinking about graph theory, algorithm design, probabilistic models and evolution.