Curriculum Vitae

🍎 Courses Taught

• Statistics for Business and Economics
• Introductory Statistics
• Statistics II
• Statistical Methods and Data Analysis
• Design of Experiments
• Online Graduate Intermediate Probability
• Statistical Computing
• Introduction to Probability and Distribution Theory
• Introduction to Statistical Inference and Regression
• Mathematical Statistics I
• Mathematical Statistics II
• Teaching and Learning of Statistical Thinking

• Topics in Mathematics and Their Applications
• College Algebra
• Precalculus
• Calculus with Precalculus (2 semester sequence)
• Calculus

• Introduction to Python

🏅 Honors and Awards

• Michiana Forty under 40 – 2023
• Indiana University at South Bend Computer Science Department Excellence Award – 2022
• North Carolina State University Statistics Master’s student of the year – 2012.
• Sarah Parks-Divine Mathematics Scholar – 2004.

📄 Certifications

• Actuary Exam P – 2006
• CITI training – Social and Behavior Research – 2021

📰 In the News

• 2023 Michiana Forty under 40 Class Revealed
• Lottery fever – 2023
• Data Fest – 2021
• USCLAP – 2021

👪 Professional Memberships

• Member of the American Statistical Association (ASA)
  – Member of the ASA section on Statistics Education
• Member of the Special Interest Group on Computer Science Education (SIGCSE)
• Member of the Institute of Electrical and Electronics Engineers (IEEE)

🌎 Service

• Undergraduate Research Advisor, The University of Notre Dame
– Ryan Elkins (2023)
– Savannah Vetterly (2022)
– Michaela Delaney (2022)
– Mitchell Larson (2021)
– Zachary Calvert (2021)

• Undergraduate Statistics Class Project (USCLAP) Mentor
– Li Mengyuan and Qingdi (Cindy) Du (Spring 2023)
– Lawrence Tiangco and Ziyang “Z” Wang (Spring 2023)
– James Mancini, Matthew Dolan and Jack O’Sullivan (Fall 2022)
– Benjamin Riner, Gregory Vogt and Emma Williams (Spring 2022)
– Ana Calderon Raisbeck, Nicholas Andrysiak and Maximillian Cook (Spring 2022)
– Xinyi Ye and Jiarui Baai (Fall 2021)
– Peter Emanuelli and Ian Johnston (Fall 2021)
– Hakeem Ceesay, Reid VonDielingen and Riley Mulshine (Spring 2021)
• Commencement Marshall, The University of Notre Dame
• Learning Management System Pilot Member, The University of Notre Dame
• Faculty Advisor – Data Club, The University of Notre Dame
• Mentor – Building Bridges Program, The University of Notre Dame
• Immersion Consultant – Notre Dame Master’s in Data Science
• STEM Retention Analyst – Jordan College of Science, The University of Notre Dame
• Data Fest Coordinator, The University of Notre Dame
• Retention Data Consultant – Department of Admissions, Meredith College.
• Admissions Committee Interviewer – Honors Program, Meredith College.
• Hiring Committee – Department of Mathematics and Computer Science, Meredith College.
• Adviser – Start Strong program for ‘at risk’ freshman, Meredith College.
• Cheerleading Coach, Surry Community College.

• NSF grant reviewer
• Undergraduate Statistics Project Competition (USPROC) Judge
• Mentor for First Year Teaching Faculty- ACMS Department, The University of Notre Dame
• Mentor for First Year PhD Students- STEM Education Department, North Carolina State University
• Reviewer – Statistics Education Research Journal (SERJ)
• Reviewer – Journal of Statistics and Data Science Education (JSDSE)
• Reviewer – Statistics Education Web, ASA.
• Consultant – Course redesign for the Department of Statistics, University of Georgia.
• Advanced Placement Reader – Statistics, Educational Testing Service.

💻 Technological Experience

• R-suite technologies: R, R Markdown and R Shiny.
• Programming languages: Python, Java, SQL, C++, C#, HTML, CSS.
• Mathematics and Statistics Education Software: Geometer’s Sketchpad, Fathom, TinkerPlots and StatCrunch.
• Microsoft Office: Word, Excel and PowerPoint.

• Taught undergraduate and graduate level statistics courses.
• Developed new ACMS courses including: Design of Experiments (undergraduate) and Online Intermediate Probability (graduate).
• Assisted in College of Science retention initiative.
• Assisted and presented at Data Science Master’s Program Immersions.
• Organized the American Statistical Association’s Data Fest at Notre Dame.

• Taught 21 to 24 credit hours per year in mathematics and statistics.
• Advised Freshman and served as a summer advising counselor.
• Created and trained a team to attend ASA Data Fest.
• Wrote and administered the Kraines exam, an annual mathematics competition for freshman and sophomores.

• Conducted quantitative and qualitative research on student responses to questions about randomization testing while utilizing technology.
• Research team included H. Lee, W. West, D. Tran, J. Nichol & V. Weber.

• Taught undergraduate level statistics courses during summer sessions.
• Instructed introductory statistics section of 100 students.
• Developed resources for hybrid undergraduate statistics course in Moodle.
• Served as senior TA for the undergraduate introductory statistics course.

• Taught developmental and college level mathematics courses.
• Represented the mathematics department in the college website redesign process.
• Trained fellow faculty members on technology.

• Taught sections of algebra, geometry and statistics.
• Served as resource coordinator for the algebra sections.