Marko Sterbentz

Marko Sterbentz

Artificial Intelligence PhD Candidate

Northwestern University

C3 Lab

I am a computer science PhD candidate at Northwestern University in the C3 Lab advised by Kristian Hammond. My current research centers around using natural language understanding techniques to answer open-ended questions using knowledge from heterogeneous data stores (i.e. text documents, relational databases, and knowledge graphs). I am also affiliated with Northwestern’s Center for Advancing Safety in Machine Intelligence (CASMI) and am interested in developing methods for ensuring machine learning systems are safe and effective in the real-world.


  • Artificial Intelligence
  • Semantic Parsing
  • Question Answering
  • Information Retrieval


  • PhD in Computer Science, 2019 - present

    Northwestern University

  • MS in Computer Science, 2019

    University of Southern California

  • BS in Computer Science, 2017

    Idaho State University


Requirements for Open Political Information: Transparency Beyond Open Data

A politically informed citizenry is imperative for a well-developed democracy. While the US government has pursued policies for open …

From Data to Information: Automating Data Science to Explore the US Court System

The U.S. court system is the nation’s arbiter of justice, tasked with the responsibility of ensuring equal protection under the …

GPGPU Enabled Ray Directed Adaptive Volume Visualization for High Density Scans

This paper presents an open source implementation of a volume visualizer capable of rendering large scale simulated and tomographic …



PhD Candidate

Northwestern University

Sep 2019 – Present Illinois

Research Intern

Lawrence Livermore National Laboratory

May 2019 – Aug 2019 California

Research Intern

Idaho National Laboratory

May 2018 – Aug 2018 Idaho


Teaching Assistant

  • NU - CS 338: Practicum in Intelligent Information Systems
    • Fall 2022
    • Spring 2022
    • Winter 2022
    • Fall 2020
  • USC - CSCI 576: Multimedia Systems Design
    • Spring 2019
    • Fall 2018