CV

Education

• Ph.D in Computer Science and Engineering, University of Notre Dame, 2025 (expected)
  • Honors/Awards: Arthur J. Schmitt Leadership Fellowship in Science and Engineering
  • Selected Coursework: Advanced Computer Architecture, Complexity and Algorithms, Graduate Operating Systems, Natural Language Processing, Data Science, Machine Learning, Pragmatics of Language Usage
• B.A. in Chemistry (Minor in Computer Science), Colorado College, 2017
  • Honors/Awards: Dean’s List, cum laude
  • Selected Coursework: Computer Organization, Software Engineering, Artificial Intelligence, Robotics

Work experience

• 2017-Present: Graduate Research Assistant
  • University of Notre Dame, Notre Dame, IN
  • Developed a question-answering AI system for API documentation using supervised and reinforcement learning.
  • Designed and executed 5 empirical studies of programmer behaviors and preferences, which involved hiring over 100 students, freelance programmers, and professional software engineers.
• 2014-2017: IT Technician
  • Colorado Hi-Tech Solutions, Colorado Springs, CO
  • Wrote programs to automatically name and sort over 200,000 business documents.
  • Performed miscellaneous tasks, including data entry, reception, and technical support.

Technical Skills

• Primary Languages:
  • Python, Javascript
• Other Languages:
  • Java, C, C++, Ruby
• Machine Learning and NLP Tools:
  • Keras, Tensorflow, Scikit-Learn, Gensim, NLTK, Pandas, BeautifulSoup
• Application Development:
  • Ruby on Rails, React, React Native, Flask, Node.js

Publications

Dialogue Management for On-Demand API Documentation

Zachary Eberhart, "Dialogue Management for On-Demand API Documentation." PhD Dissertation, University of Notre Dame, 2025.

APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents

Zachary Eberhart, Collin McMillan, "APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents." In the proceedings of 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025.

Function Call Graph Context Encoding for Neural Source Code Summarization

Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan, "Function Call Graph Context Encoding for Neural Source Code Summarization." Preprint, 2023.

Semantic Similarity Metrics for Evaluating Source Code Summarization

Sakib Haque, Zachary Eberhart, Collin McMillan, "Semantic Similarity Metrics for Evaluating Source Code Summarization." In the proceedings of 30th IEEE/ACM International Conference on Program Comprehension (ICPC'22), 2022.

Generating Clarifying Questions for Query Refinement in Source Code Search

Zachary Eberhart, Collin McMillan, "Generating Clarifying Questions for Query Refinement in Source Code Search." In the proceedings of 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER'22), 2022.

Dialogue Management for Interactive API Search

Zachary Eberhart, Collin McMillan, "Dialogue Management for Interactive API Search." In the proceedings of 37th International Conference on Software Maintenance and Evolution (ICSME'21), 2021.

A Neural Question Answering System for Basic Questions about Subroutines

Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan, "A Neural Question Answering System for Basic Questions about Subroutines." In the proceedings of 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER'21), 2021.

A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant

Zachary Eberhart, Aakash Bansal, Collin McMillan, "A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant." In the proceedings of IEEE Transactions on Software Engineering (TSE), 2021.

Dialogue Act Classification for Virtual Agents for Software Engineers during Debugging

Andrew Wood, Zachary Eberhart, Collin McMillan, "Dialogue Act Classification for Virtual Agents for Software Engineers during Debugging." In the proceedings of IEEE/ACM 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE'20), 2020.

A Human Study of Comprehension and Code Summarization

Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang, "A Human Study of Comprehension and Code Summarization." In the proceedings of 28th IEEE/ACM International Conference on Program Comprehension (ICPC'20), 2020.

Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments

Zachary Eberhart, Alexander LeClair, Collin McMillan, "Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments." In the proceedings of 27th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER'20), 2020.

The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant

Zachary Eberhart, Aakash Bansal, Collin McMillan, "The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant." Preprint, 2020.

Multi-type itemset embedding for learning behavior success

Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh Chawla, "Multi-type itemset embedding for learning behavior success." In the proceedings of Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD'18), 2018.

Adapting neural text classification for improved software categorization

Alexander LeClair, Zachary Eberhart, Collin McMillan, "Adapting neural text classification for improved software categorization." In the proceedings of 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME'18), 2018.

Service and leadership

• 2017-Present: Events Volunteer
  • Society of Schmitt Fellows, Notre Dame, Notre Dame, IN
• 2015-2016: Volunteer Pharmacy Technician
  • Open Bible Medical Clinic (Formerly TLC Pharmacy), Colorado Springs, CO