Connor Donovan

Graduate Teaching Assistant

University of Pittsburgh

Aug 2024 - Current (2 years)

Improved comprehension for 150+ students in single-variable calculus by leading 6 weekly class recitations and lab sessions at University of Pittsburgh.

AI Trainer - Mathematics Expert

Outlier AI

May 2024 - Jan 2025 (9 months)

Optimized mathematical large language model (LLM) performance to generate trustworthy and high-quality results through the creation of challenging test cases, comprehensive response auditing, and strict fact-checking. Engineered high-precision prompts, graded model output, and supplied feedback to improve reliability and accuracy. Used Python and ATEX to craft edge-case questions and expose logical gaps. Increased model answer quality through iterative, data-driven tuning cycles.

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High School Math Teacher

Pointe Coupee Parish School Board

Aug 2023 - Jun 2024 (11 months)

Taught Algebra 1 and Math Essentials to classes of up to 30 students, adapting lesson plans based on assessment data for improved outcomes. Increased Algebra 1 student growth by 20% on Louisiana statewide assessments by executing tailored lesson plans and using assessment feedback.

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Research Fellow

Baruch College – CUNY

Jun 2022 - Aug 2022 (3 months)

As a Research Fellow, I performed mathematics research under Dr. Pablo Soberón, focusing on discrete geometry and exploring Helly-type and Tverberg-type theorems through the application of combinatorial convexity and linear algebra. My findings were published in Studia Sci. Math. Hungarica, following an in-depth study of Krasnosselsky's art gallery theorem. In my research, I conducted data analysis on properties of large sets of geometric objects, which involved determining cause-and-effect relationships between the nature of the objects and their invariants. This analytical process required the use of causal inference to identify specific features that influenced certain qualities, as well as a design of experiments (DOE) approach to study

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Research Fellow

Ursinus College

Jun 2021 - Aug 2021 (3 months)

As a Research Fellow, I performed mathematics research under Dr. Nicholas Scoville, focusing on topology and homotopy theory through discrete Morse theoretic techniques. My investigations into iterative gradient vector field patterns involved extensive data analysis, utilizing Python for experimentation, which led to results published in two peer-reviewed journals. I conducted quantitative research on the properties of large sets of simplicial complexes, employing causal inference to explore cause-and-effect relationships between the characteristics of the complexes and their topological invariants. This analytical approach required a robust design of experiments (DOE) to effectively study the simplicial complexes and their numerical invari

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