Kaiyuan Zhu

Kaiyuan Zhu

Contact

Computer Science Department
Indiana University Bloomington
2033L Luddy Hall

Email: kzhu@indiana.edu

About

Hi there, I'm a Ph.D. candidate at the Computer Science Department of Indiana University Bloomington, advised by Professor Cenk Sahinalp, working on algorithms and computational biology. I obtained my B.Sc.Eng. in Computer Science and Technology from Taishan College, Shandong University, China.

I'm interested in a diverse set of algorithmic problems from bioinformatics/molecular biology, particularly in the context of cancer genomics. I have developed computational methods mainly for genomic data compression and network-based integration and functional interpretation of genomic variants in cancer.

My CV is available upon request.

Publications

  • Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks
    Ermin Hodzic, Raunak Shrestha, Kaiyuan Zhu, Kuoyuan Cheng, Colin C. Collins, S. Cenk Sahinalp
          Manuscript
  • Genomic Data Compression
    Kaiyuan Zhu, Ibrahim Numanagić, S. Cenk Sahinalp
          Encyclopedia of Big Data Technologies (To appear)
  • Optimal Compressed Representation of High Throughput Sequence Data via Light Assembly
    Antonio A. Ginart, Joseph Hui, Kaiyuan Zhu, Ibrahim Numanagić, Thomas A. Courtade, S. Cenk Sahinalp, David N. Tse
          Nature Communications, Feb 2018
  • Approximating Max NAE-k-SAT by anonymous local search
    Aiyong Xian, Kaiyuan Zhu, Daming Zhu, Lianrong Pu, Hong Liu
          Theoretical Computer Science, Jan 2017
 

Teaching

  • Fall 2014: B501 Theory of Computing (Associate Instructor)
  • Spring 2015: I201 Mathematical Foundations of Informatics (Associate Instructor)
  • Fall 2015: P536 Advanced Operating Systems (Associate Instructor)
  • Spring 2016: B503 Algorithms Design and Analysis (Associate Instructor)

Professional Expericence

  • Talks given: Optimal Compressed Representation of High Throughput Sequence Data via Light Assembly, RECOMB-Seq, May 2017, Hong Kong;
    PHI meeting, IU, Dec 2017.