Curriculum Vitae

Contact

Education

  • PhD, Statistics, University of Illinois Urbana-Champaign, 2014
  • MS, Statistics, University of Illinois Urbana-Champaign, 2011
  • BS, Mathematics, University of Illinois Urbana-Champaign, 2009

Academic Positions

  • University of Illinois Urbana-Champaign, Siebel School of Computing and Data Science1
    • Teaching Associate Professor, Fall 2023 - Present
  • University of Illinois Urbana-Champaign, Department of Statistics
    • Teaching Assistant Professor, Summer 2019 - Summer 2023
  • The Ohio State University, Department of Statistics
    • Associated Assistant Professor, Fall 2018 - Spring 2019
    • Data Analytics Program Specialist, Fall 2018 - Spring 2019
  • University of Illinois Urbana-Champaign, Department of Statistics
    • Adjunct Teaching Assistant Professor, Summer 2018 - Spring 2019
    • Teaching Assistant Professor, Spring 2018 - Summer 2018
    • Lecturer, MS Academic Advisor, Fall 2016 - Spring 2018
    • Visiting Assistant Professor, Fall 2014 - Summer 2016

Books

Journal Articles and Preprints

  • Wapner, J., Dalpiaz, D.,and Eck, D. J. (2022). SEAM Methodology for Context-Rich Player Matchup Evaluations in Baseball (Preprint). arXiv:2005.07742 https://seam.stat.illinois.edu/
  • Sun, X., Dalpiaz, D., Wu, D., Liu, J. S., Zhong, W., and Ma, P. (2016). Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model. BMC Bioinformatics.
  • Dalpiaz, D., He, X., and Ma, P. (2012). Bias Correction in RNA-Seq Short-Read Counts using Penalized Regression. Statistics in Biosciences.

Conference Proceedings

  • Robles-Granda, P., Liu, H., Anwar, C., Narang, S., Dalpiaz, D., Angrave, L. (2025). Beyond Descriptive Statistics: Analysis of Time Series of Student Interactions in Engineering Courses Through the Lens of Modern Mathematical Methods. 2025 ASEE Annual Conference & Exposition.
  • Zhao, D., Gopannagari, M., Ding, X., Tao, A., Varadhan, S., Dignan, B., Amos, J., Vogiatzis, C., Dalpiaz, D., Hardy, B., Angrave, L., and Liu, H. (2024). Accessibility Nuggets, Video Vignettes, and other Instructor Development approaches to foster UDL adoption and Inclusive Engineering Education. 2024 ASEE Annual Conference & Exposition.
  • Ding, X., Gopannagari, M., Sun, K., Tao, A., Zhao, D., Varadhan, S., Vogiatzis, C., Hardy, B., Dalpiaz, D., Angrave, L., and Liu, H. (2024). Evaluation of LLMs and other machine learning methods in the analysis of qualitative survey responses for accessible engineering education research. 2024 ASEE Annual Conference & Exposition.
  • Ding, X., Sun, K., Xiao, Z., Varadhan, S., Li, J., Gersich, N., Agarwal, A., Gopannagari, M., Vogiatzis, C., Dalpiaz, D., Amos, J., Angrave, L., Liu, H. (2023). Evaluating the low-stakes assessment performance, student perceived accessibility, belongingness, and self-efficacy in connection to the use of digital notes in engineering and computing courses. 2023 ASEE Annual Conference & Exposition.
  • Varadhan, S., Ding, X., Zhao, D., Agarwal, A., Dalpiaz, D., Vogiatzis, C., Huang, Y., Angrave, L., Liu, H. (2023). Opportunities and Barriers to UDL-based Course Designs for Inclusive Learning in Undergraduate Engineering and other STEM courses. 2023 ASEE Annual Conference & Exposition.
  • Liu, H., Angrave, L., Amos, J., Dalpiaz, D., Vogiatzis, C., Xiao, Z.Y., Varadhan, S., Louie J. (2022). A Digital Book-Based Pedagogy to Improve Course Content Accessibility for Students with and without Disabilities in Engineering and other STEM courses (WIP). 2022 ASEE Annual Conference & Exposition.
  • Liu, H., Moparthi, D., Dalpiaz, D., Amos, J., Angrave, L., Vogiatzis, C., Reck, R., Varadhan, S., Huang Y. (2022). Understanding the needs of students with and without disabilities for inclusive UDL-based design of Engineering courses through learning management systems. 2022 ASEE Annual Conference & Exposition.

Additional Writing

Grants

  • UDL Based Best Practices Including Utilizing Canvas for the Needs of Students
    • Strategic Instructional Innovations Program (SIIP), Academy for Excellence in Engineering Education (AE3), Grainger College of Engineering, University of Illinois Urbana-Champaign
    • Phase I
      • Hongye Liu (CS, PI), Jenny Amos (BioE), Lawrence Angrave (CS), Rebecca Reck (BioE), Chrysafis Vogiatzis (ISE), David Dalpiaz (STAT), Yun Huang (IS). Liaison: Yuting Chen (ECE)
      • Date: 06/07/2021
      • Amount: $21,000
    • Phase II
      • Hongye Liu (CS, PI), Lawrence Angrave (CS), Chrysafis Vogiatzis (ISE), David Dalpiaz (STAT), Yun Huang (IS). Liaison: Yuting Chen (ECE)
      • Date: 06/07/2022
      • Amount: $8,500
    • Phase III
      • Hongye Liu (CS, PI), Lawrence Angrave (CS), Chrysafis Vogiatzis (ISE), David Dalpiaz (STAT), Bobby Hardy (EngIT), Yun Huang (IS). Liaison: Mariana Silva (CS)
      • Date: 05/19/2023
      • Amount: $9,500
  • Applying a Theoretical Understanding of Text-Based Learning Modalities to Develop New Course Modalities That Meet the Needs of Student with Disabilities
    • Grassroots Initiatives to Address Needs Together (GIANT), Institute for Inclusion, Diversity, Equity & Access (IDEA), Grainger College of Engineering, University of Illinois Urbana-Champaign
    • Phase I
      • Hongye Liu (CS, PI), Chrysafis Vogiatzis (ISE), Lawrence Angrave (CS), Jenny Amos (BioE), David Dalpiaz (STAT)
      • Date: 03/15/2021
      • Amount: $9,905
    • Phase II
      • Hongye Liu (CS, PI), Chrysafis Vogiatzis (ISE), Lawrence Angrave (CS), Jenny Amos (BioE), David Dalpiaz (STAT)
      • Date: 04/06/2022
      • Amount: $11,491

Presentations

  • Speaker: Baseball Thinking Was Medieval: An (Incomplete) Introduction to Sabermetrics - Illinois Data Science Club, Urbana, IL, March 2025
  • Workshop Leader: Reproducing MLB Baseball Savant - Carnegie Mellon Sports Analytics Conference 2024, Pittsburgh, PA, November 2024
  • Speaker: Careers in Sports & Data - Sports Analytics Society, Urbana, IL, November 2023.
  • Co-speaker: SEAM Methodology for Context-Rich Player Matchup Evaluations in Baseball - Society for American Baseball Research Analytics Conference, March 2022.
  • Speaker: Using GitHub in the Classroom: A VERZUZ Battle - Breakout Session at US Conference on Teaching Statistics, June 2021.
  • Speaker: Using Git and GitHub - Blackwell Summer Scholars Program Seminar, May 2021.
  • Speaker: Swapping your FOMO for NOMO, On the necessity of missing out in the age of online education - ATLAS LAS Technology Presentation Series, November 2020.
  • Guest Lecture: Data Science?, Introduction to Mathematics Seminar, March 2019
  • Speaker: The Smallest Data Analysis - University of Illinois Urbana-Champaign Reading Day Lecture Series, May 2018.
  • Poster: Identification of Regulatory Elements using Next-Generation Sequencing Data - DTRA/NSF Algorithm Workshop, San Diego, CA, November 2012.
  • Speaker: Topic-Contributed Session: Estimating Gene Expression Levels Using RNA-Seq Short Reads - Joint Statistical Meetings, San Diego, CA, July 2012.
  • Poster: RNA-Seq Gene Expression Estimation Using Higher Order Moments - Cancer Community at Illinois Symposium, Urbana, IL, April 2012.
  • Student Speaker: Bias Correction in RNA-Seq Short-Read Counts using Penalized Regression - Robert Bohrer Student Workshop in Statistics, Urbana, IL, October 2011.

Service

  • Professional Organizations
    • Reviewer, Journal of Statistical Software
    • Reviewer, Statistical Analysis and Data Mining
    • Reviewer, Journal of Statistical Theory and Practice
    • Reviewer, American Society for Engineering Education Minorities in Engineering Division
  • University of Illinois Urbana-Champaign
    • University Senate, Fall 2021 - Spring 2023, Fall 2024 - Present
    • University Statutes and Senate Procedures Committee, Fall 2022 - Present
    • Chair, University Statutes and Senate Procedures Committee, Fall 2023 - Present
    • Senate Executive Committee, Fall 2023 - Present
    • Institute for Inclusion, Diversity, Equity & Access (IDEA), Fall 2021 - Present
  • Siebel School of Computing and Data Science - University of Illinois Urbana-Champaign
    • Undergraduate Studies Committee, Fall 2023 - Present
  • Department of Statistics - University of Illinois Urbana-Champaign
    • Chair, Computing Committee, Fall 2019 - Spring 2023
    • Undergraduate Program Committee, Fall 2020 - Spring 2021, Fall 2022 - Present
    • Social Coordination Committee, Fall 2020 - Spring 2022
    • Course Credit and Intellectual Property Committee, Summer 2021
    • Chair, Online Education Committee, Fall 2019 - Spring 2021
    • Data Science Education Committee, Fall 2019 - Spring 2021
    • Timetable Committee, Fall 2020 - Fall 2021
    • Chair, Timetable Committee, Fall 2021
    • Judge, Illini Datathon 2020, Spring 2020
    • Co-Chair, Undergraduate Core Curriculum Redesign, Summer 2020
    • Curriculum Committee, Fall 2016 - Spring 2018
    • Non-Tenure Track Search Committee, Fall 2016 - Spring 2018
    • MS Program Committee, Fall 2016 - Spring 2018
    • Biostatistics Working Group, Fall 2014 - Spring 2016
  • Department of Statistics - The Ohio State University
    • Host & Organizer, DataFest @ OSU 2019, Spring 2019
    • Data Analytics Curriculum Committee, Fall 2018 - Spring 2019

Awards

  • List of Teachers Ranked as Excellent by Their Students
    • Fall 2022 - STAT 385, Statistical Programming Methods (Online)*
    • Fall 2022 - STAT 385, Statistical Programming Methods*
    • Spring 2022 - STAT 385, Statistical Programming Methods (Online)
    • Spring 2022 - STAT 385, Statistical Programming Methods
    • Fall 2021 - STAT 385, Statistical Programming Methods (Online)
    • Fall 2021 - STAT 385, Statistical Programming Methods
    • Spring 2021 - STAT 432, Basics of Statistical Learning
    • Fall 2020 - STAT 432, Basics of Statistical Learning
    • Fall 2020 - STAT 432, Basics of Statistical Learning
    • Spring 2020 - STAT 432, Basics of Statistical Learning
    • Spring 2018 - STAT 400, Statistics and Probability I
    • Fall 2017 - STAT 400, Statistics and Probability I
    • Summer 2017 - STAT 420, Statistical Modeling with R (Online, Coursera)
    • Spring 2016 - STAT 430, Topics: Basics of Statistical Learning
    • Fall 2016 - STAT 400, Statistics and Probability I
    • Spring 2015 - STAT 420, Methods of Applied Statistics
    • Fall 2009 - STAT 400, Statistics and Probability I (TA)

Course Development

  • STAT 420, Illinois, Statistical Modeling in R
    • Developed fully-online and asynchronous course as a part of the first cohort of courses for the Master of Computer Science in Data Science program administered via Coursera. Despite being a purely elective course in the program, the course continues to be among the most popular and highest rated. Materials from this course, especially the self-produced videos, are used by the Center for Innovation in Teaching & Learning (CITL) as examples of effective teaching.
    • Course Textbook: https://book.stat420.org
  • STAT 432, Illinois, Basics of Statistical Learning.
    • Proposed and developed an undergraduate level machine learning course for statistics majors to fill an existing gap in the curriculum. Oversaw the growth of the course from a small pilot of approximately 70 students, to its current status as one of the most popular statistics electives serving nearly 200 students a semester. Developed an auto-grading system to help scale the course, while still allowing for multiple human-graded projects each semester.
    • Example Course Website: https://stat432.org/
  • STAT 4194, Ohio State, Data Analytics Capstone
    • Developed statistics capstone course for the Data Analytics major at Ohio State, a project-based course that included working with an industry partner where students had an opportunity to deliver actionable insights and were tasked with presenting results to both technical and non-technical stakeholders.
  • STAT 510, Illinois, Mathematical Statistics
    • Developed fully online and asynchronous version of existing graduate-level mathematical statistics course. Also proposed curriculum revisions as the course was transitioning to a course specifically designed for MS students.
    • Example Course Website: https://stat510.org/
  • STAT 385, Illinois, Statistical Programming Methods
    • Revamped existing course to better fit within the larger curriculum. Pivoted focus to fundamental programming concepts so there would be less overlap with data analysis programming tasks that are repeatedly seen in other courses throughout the curriculum. Additionally, implemented auto-graded for the majority of the assignments to help scale the course.
    • Example Course Website: https://stat385.org/

Student Supervision

Graduate Student Teaching

Supervision of graduate student classroom instruction:

  • Fall 2014, STAT 400, Zhu, Xiaolu
  • Fall 2014, STAT 400, Lee, Chung Eun
  • Spring 2015, STAT 400, Shand, Lyndsay, TRE2
  • Spring 2015, STAT 400, Biscarri, William
  • Fall 2015, STAT 212, Eisinger, Robert
  • Fall 2016, STAT 400, Formentini, Sarah
  • Fall 2016, STAT 400, Huang, Weihong
  • Fall 2017, STAT 400, Liu, Ying
  • Fall 2017, STAT 400, Agarwala, Neha
  • Fall 2017, STAT 400, Warner, Austin, TRE
  • Fall 2017, STAT 400, Tu, Robin
  • Fall 2017, STAT 400, Fredrickson, Mark, TRE+
  • Fall 2017, STAT 400, Loyal, Joshua, TRE
  • Fall 2017, STAT 400, Campos, Mauricio, TRE
  • Fall 2017, STAT 400, Li, Yutong, TRE
  • Fall 2018, STAT 400, Agarwala, Neha
  • Fall 2018, STAT 400, Loyal, Joshua, TRE
  • Fall 2023, CS 307, Lahari Anne
  • Spring 2024, CS 307, Lahari Anne
  • Fall 2024, CS 307, Veda Kailasam
  • Fall 2024, CS 307, Xuying Ning
  • Fall 2024, CS 307, Aniket Vashishtha
  • Fall 2024, CS 307, Jiaru Zou
  • Spring 2025, CS 307, Ruize Gao

Undergraduate Research

  • Guo, Zhiyu, Fall 2014, Undergraduate Research Experience in Statistics (URES) independent study
  • Tunner, Zachary, Fall 2014, URES independent study
  • Lao, Xun, Spring 2015, URES independent study
  • Guo, Yansho, Spring 2015, URES independent study
  • Chang, Johnny, Fall 2015, URES independent study
  • Qin, Manze, Fall 2015, URES independent study
  • Young, Charlie, Fall 2020 - Spring 2021, baseball analytics independent study
  • Alverez, Max, Fall 2021, URES independent study
  • Jefferson, Matthews, Fall 2021, URES independent study
  • Chase, Christian, Spring 2022, supplemental mentoring for senior thesis
  • Wapner, Julia, Spring 2021 - Spring 2022, baseball analytics independent study
  • Escobedo, Michael, Fall 2022 - Spring 2023, baseball analytics independent study
  • Banks, Jack, Fall 2022 - Spring 2023, baseball analytics independent study
  • Shlok Mehrotra - Spring 2023, independent study
  • Jessica Singh - Spring 2023independent study
  • Kim, Jamin, Fall 2023 - Spring 2024, baseball analytics independent study
  • To, Ryan, Fall 2023 - Present, baseball analytics independent study
  • Alberts, Colin, Fall 2024 - Present, baseball analytics independent study
  • Anumala, Ashrith, Fall 2024 - Present, baseball analytics independent study

Footnotes

  1. Prior to 2025, the Siebel School of Computing and Data Science was the Department of Computer Science.↩︎

  2. TRE indicates placement on the “List of Teachers Ranked as Excellent by Their Students.” TRE+ indicates placement in the top 10% which is labeled as “outstanding.”↩︎