CV

Education and research experience.

Contact Information

Name Nicholas Ho
Professional Title Computational Biology PhD student
Email nzh@cs.cmu.edu

Experience

  • June 2022 - May 2023
    Visiting Research Scholar
    Harvard Medical School
    • Accepted as a visiting research fellow at Harvard DBMI through a highly competitive application process.
    • Currently developing a novel machine learning architecture to deal with missing and imbalanced modalities.
  • Feb 2020 - May 2023
    Research Associate
    Struct. Sys. Bio at Biodesign Institute at ASU
    Worked as a Research Associate in the Singharoy Lab. Lead research for my honors thesis to utilize deep ML methods with statistical mechanical methodologies.

    • Lead and wrote a project on discovering free energy pathways with reinforcement learning
    • Developed a molecular differentiable simulator for Jax based on TorchMD
    • Helped develop novel conditional generative models for deriving free energy pathways
    • Implemented and tested several physics-informed models.
  • June 2021 - August 2021
    Visiting Research Scholar
    Carnegie Mellon University
    Accepted as a visiting research fellow in CMU Statistics through a highly competitive summer research program.
    • Created and a novel methodology for using stochastic simulators for soccer game predictions. Our method had comparable results to models trained directly on scores.
  • May 2020 - May 2021
    Assistant Researcher under Ferran Garcia Pichel at Biodesign Institute
    Pichel Lab Biodesign Inst.
    Developed a Python Plugin for Qiime2 for the relationship between ribosomal gene copy number and size.
  • August 2019 - May 2021
    Assistant Researcher
    Cao Lab Biodesign Inst.
    • Conducted data engineering and analysis on genomes assembled from a metagenome in order to study the strain level variance within microbiome communities.
    • Implemented a web system that highlighted which genes present in a pathway for particular cyanobacteria species using PFAM’s Hidden Markov Model package, JavaScript, SQL databases, shell and Python.
  • June 2020 - July 2020
    Software Engineer, Intern
    Western Tool & Supply
    • Implemented and trained an LSTM Recurrent Neural Network to predict customer purchase likelihoods. • Integrating and using Bluetooth LE between microcontrollers and Google Chrome into their IOT system.
  • May 2020 - August 2020
    Virtual Helios Scholar
    TGEN
    Due to covid, the Helios Scholars Program was moved to a virtual format.

Education

  • August 2023 - Present
    PhD Student
    Carnegie Mellon University
    • Advised by Prof. Jian Ma and Prof. Eric Xing.
  • August 2019 - May 2023
    B.Sc. Honors Student
    Arizona State University
    • Double Major in Mathematics (4.0) and Computer Science (4.0)