Daniel Kristiyanto

I am a Fulbright Scholar pursuing a Master's Degree in Computer Science at the University of Washington where I work with Ka Yee Yeung. My research interests are in the domains of data science, machine learning, and bioinformatics.

I also have strong interests in computer infrastructure. Some of technology that I have previously worked with are including docker, virtualization, cloud computing, servers (windows and linux), routers, and firewalls.

and Publication

Recent Projects
  • GUIdock: Using Docker Containers with a Common Graphics User Interface to Address the Reproducibility of Research
    Ling-Hong Hung, Daniel Kristiyanto, Sung Bong Lee, Ka Yee Yeung

    Poster presented at eScience UW Data Science Poster and Networking Session 2015.
    Publication: http://dx.doi.org/10.1371/journal.pone.0152686
    Poster: GUIdock Poster. Repository: https://git.io/v2ptk

  • Contribution to DREAM 9.5 Prostate Cancer Challenge: Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with hill-climbing and random forest.
    Kristiyanto D, Anderson K, Khankhajeh SS, Shi K, West S, Hung LH, Lee A, Wei Q, Wu M, Yin Y and Yeung KY
  • Poster presented at the 8th annual RECOMB/ISCB Conference on Regulatory and Systems Genomics.
    Poster: F1000 Research 2015, 4:1383. Repository:https://git.io/v2p92

  • MicroArray Analysis: Magnesium Sulfate for Fetal Neuroprotection (Mice)
    Daniel Kristiyanto

    Repository: https://git.io/v2p9o

  • Machine Learning Approach in Predicting Future Cost and Time of Readmission for Congestive Heart Failure Patients
    Daniel Kristiyanto, Aftab Hassan, Garima Khulbe

    Azure ML





daniel at kristiyanto.me