Welcome to my Advising and Mentoring page! Below, you will find a list of former students and mentees I’ve worked with and some of the projects we worked on together.

Undergraduate Students

2024:

  • Madeline Hunt: Building a Modern Assessment for Statistical Literacy.
  • Priyadharshini Sriramlatha and Aparajita Vemuri: The influence of personality on learning statistics.
  • Bhuvan Kala, Julianna Drew, and Sanjana Gongati: Computational thinking with data.
  • Daniel Hogan: Mind wandering when learning statistics.

2023:

  • Shubh Goyal: Individual differences in human clustering.
  • Vishnu Sadhu: Psychological factors associated with purchasing life insurance.

2022:

  • Maisie Simpson: Association between generational trauma and progressive dementia types.

Graduate Students

2024:

  • Maisha Ahasan: The impact of teacher-student racial identity congruence on students’ sense of belonging.
  • Amos Jeng: Harnessing GPT Technologies to Develop Students’ Statistical and Computational Thinking.

2023:

  • Nicki May: Cooperative learning in an online asynchronous statistics course: Instructor and student perspectives.
  • Pablo Vivas Corrales: Pensamiento Estadístico: Un Enfoque de Simulación para Modelar la Incertidumbre.

2022:

  • Liz Ancel and Michael Smith: Relating Automated Acoustic Measures and Listener Ratings of Children’s Productions of Word-Initial /ɹ/ and /w/.