TEACHING, EXTENSION, AND ADVISING
Courses Taught
University of Maryland, College Park, College Park, MD
Categorical Data Analysis (EPIB 652), Fall 2025
Public Health Data Management (EPIB 697), Fall 2025, Summer 2025
Advising: Other than Directed Research
Doctoral
External Research Mentor
Huiqian Hu, June 2025 - Present - PhD Candidate in Molecular Pharmaceutics, University of Utah
Master’s
Academic adviser
Jordan Best, June 2025 - Present - MPH Student in Biostatistics, University of Maryland, College Park
Betelehim Haile, June 2025 - Present - MPH Student in Biostatistics, University of Maryland, College Park
Other Advising Activities
External Research Mentor
Veronika Post, August 2025 - Present, Graduate Course Development Assistant, Boston College
Kenny Akinnuoye, July 2025 - Present, CRM Data Specialist at Randstad Digital
Connie Gao, June 2025 - Present - Medical Student, University of South Florida Morsani College of Medicine
Lylybell Zhou, June 2025 - Present - Medical Student, University of South Florida Morsani College of Medicine
Peer Adviser
Meyerhoff Scholars Program, University of Maryland, Baltimore County (September 2018 - May 2020) - Provided mentorship and academic guidance for younger math students in the Meyerhoff Scholars Program
Professional and Extension Education
Workshops
University of Pennsylvania, Philadelphia, PA
Using Real World Data in a Course Curriculum (April 2023) - Facilitators: Ian Barnett, PhD, Jin Jin, PhD, and Rui Xiao, PhD - Led discussion of topics including big data, accessing public data, programming tools, resources for learning programming languages, as well as teaching research design and data pre-processing
Teaching a First Course after Graduate School (March 2023) - Facilitators: Arman Oganisian, PhD and Lior Rennert, PhD - Led discussion of topics including navigating the application process for faculty positions, differences between various faculty tracks, strategies for designing a course, and how graduate student and faculty environments differ
Teaching Statistics to Non-Statisticians (February 2023) - Facilitators: Nandita Mitra, PhD and Wei-Ting Hwang, PhD - Led discussion of topics including picking appropriate statistical software, encouraging student engagement through motivating data examples, and making courses accessible to students of different statistical backgrounds
Strategies for Teaching in Graduate School: A Panel of Experienced PhDs & Post-Docs (November 2022) - Facilitators: Quy Cao, PhD, Kevin Donovan, PhD, and Sarah Hegarty, MPhil, MS - Led discussion of topics including working with students from diverse backgrounds, deciding how flexible to be with assignments given students' COVID experiences, encouraging understanding of material beyond achieving grades, and dealing with students asking for extra credit on assignments
Incorporating Scientific Literature in STEM Courses (October 2022) - Facilitators: Rebecca Hubbard, PhD and Alisa Stephens-Shields, PhD - Led discussion of topics including example activities of having students engage with primary scientific literature, as well as making these classroom techniques interesting and accessible to students with different backgrounds
Strategies for Teaching Highly Mathematical Material (October 2022) - Facilitators: Elizabeth Sweeney, PhD and Haochang Shou, PhD - Led discussion of topics including aspects of learning specific to advanced mathematics, best practices for presenting content in lectures, making material accessible to students from different math backgrounds, creating homework/exams, encouraging student participation, and helping struggling students
Working as Part of a Teaching Team (September 2022) - Led evaluation and case study activities to emphasize effectively leveraging different opinions and evaluation preferences on a teaching team, as well as strategies for reaching out to one's teaching team for different situations
Incorporating the Use of Computer Software in a Course (September 2022) - Facilitators: Jarcy Zee, PhD and Kristin Linn, PhD - Led discussion of topics including big data, accessing public data, programming tools, resources for learning programming languages, deciding whether to have a dedicated laboratory section of a course, access to computing resources, and making courses meaningful and accessible to students with diverse computing backgrounds
University of Maryland, Baltimore County, Baltimore, MD
Networking Workshop: Establishing Relationships that will Unlock Your Future (June 2020) - Led discussion of topics including what networking is, the importance of and strategies for networking, and facilitated breakout sessions where students identified who was in their network
Guest Lectures and Invited Talks
Guest Lecturer
Biostatistics for Epidemiologic Methods II (EPID 527)
Topic: Sample size and power (February 2023)
Topic: Proportional odds model and generalized ordered logistic regression (February 2022)
Other Teaching Activities
University of Pennsylvania, Philadelphia, PA
Teaching Assistant
Introduction to Statistics for Health Policy (HPR 604), Summer 2021, 2022 - Responsibilities included grading homework and holding office hours
Data Analysis for Life Science (BIOM 610), January 2022 – May 2022 - Created video lectures to reinforce statistical concepts covered in DataCamp statistics courses
University of Maryland, Baltimore County, Baltimore, MD
Teaching Assistant
Special Topics in Mathematics (MATH 290), June – July 2020 - Responsibilities included holding discussion sessions in which I facilitated group work on practice problems, grading homework, and holding office hours
Calculus and Analytical Geometry II (MATH 152), Spring 2020, Fall 2018 - Responsibilities included holding discussion sessions in which I facilitated group work on practice problems, holding office hours, and grading quizzes/exams
Introduction to Mathematical Reasoning (MATH 390), Spring 2020, Fall 2019 - Responsibilities included holding discussion sessions in which I facilitated group work on practice problems, holding office hours, grading homework, and providing qualitative evaluations of student performance in proof-writing skills
Multivariable Calculus (MATH 251), Spring 2019 - Responsibilities included holding discussion sessions in which I reviewed quiz solutions, grading quizzes/exams and holding office hours
Calculus and Analytical Geometry I (MATH 151), Spring 2018, Fall 2017 - Responsibilities included holding discussion sessions in which I facilitated group work on practice problems, holding office hours, and grading quizzes/exams
Grader
Introduction to Differential Equations (MATH 225), Fall 2019 - Graded weekly homework
Applied Statistics (STAT 454), Spring 2019 - Graded weekly homework
Tutor
College of Natural and Mathematical Sciences Active Science Teaching and Learning Environment, February - May 2017 - Provided hands-on tutoring to predominately calculus I and II students in a collaborative learning environment
Teaching Awards
Preparing to Teach Statistics and Data Science Workshop (August 2024) - Selected to participate in one-day workshop designed to prepare for a future role as faculty responsible for teaching statistics and data science to undergraduate students of different disciplines
Center for Excellence in Teaching, Learning, and Innovation Graduate Fellowship for Teaching Excellence (April 2022) - Recognizes graduate students who are dedicated to excellent teaching and encourages their development as teachers