Senior Thesis

Scripps College Mathematics Senior Thesis

If you are interested in discussing a Senior Thesis with me, as either a First or Second Reader, please feel free to reach out. The Scripps Senior Thesis template is this Overleaf file which you can copy to use, note the Scripps Senior Thesis due date is the Friday before Spring Break.

Below are some of the thesis projects I am a part of, as you will see the range of topics is wide.

Completed

A Bayesian Network Analysis to Predict Dog-Owner Relationship Strength,  Erin Pinkelman - Spring 2024, Dual Thesis,  First Reader along with Jennifer Groscup and Jennifer Ma

Quantifying the Effect of School Attendance Boundaries on Racial Segregation: A Model for Measuring Educational Gerrymandering, Rina Nagashima - Spring 2024, Dual Thesis, First Reader Along with Eric Helland and Shanna Rose

Optimizing Large Image Datasets Through Geometric Sampling: Defining Density, Committee Member Data Science, Asanti Gemeda - Spring 2024 , Data Science Thesis, First Reader with Second Reader Jeho Park

Developing a Pipeline for Synthesizing Domain-Specific Training Data Math/Computer Science, Nicole Falicov - Spring 2024, Computer Science Thesis, First Reader with Second Reader Gabe Hope

A Mathematical Model of Malaria with Temperature-Dependent Parameters, Kaia M. Smith - Scripps 2023S, Dual Thesis, First Reader Along with Adam Landsberg

Knot theory: Exploring the relationship between the Alexander polynomial and Alexander tribracket knot invariants, Lily Wartman - Scripps 2023S, First Reader with Second Reader Sherilyn Tamagawa

Migration and Modelling - A Mathematical Approach to Game Theory and the 1947 Partition, Perbhaat Khowaja - Scripps 2023S, Dual Thesis, First Reader Along with Tahir Andrabi, and Nayana Bose 

Correlation Does Not Imply Correlation: A Thesis on Causal Influence and Simpson's Paradox, Emily Naitoh - Scripps 2022F, First Reader with Second Reader Winston Ou

An Examination of Legionnaires' Disease Through the Lens of ODE Modeling, Kimi Miramontes - Scripps 2022S, First Reader with Second Reader Winston Ou

Utilizing Deep Learning to Analyze Queer-Coded Villains, Stone Van Allen - Scripps 2022S, Dual Thesis, First Reader Along with Piya Chatterjee

Examining Bias Against Women in Professional Settings through Bifurcation Theory, Lauren Cashdan - Claremont McKenna 2021F, First Reader with Second Reader Sam Nelson

Bayesian Network Predictions for Title IX Policy Changes, Jordan Wellington - Scripps 2021S, Dual Thesis - First Reader Along with Sue Castagnetto

Investigating changes in the SEIRMD model applied to COVID-19, Anne Leisenring Cohen - Scripps 2021S, Second Reader with First Reader Jo Hardin

Mathematical Analysis of COVID-19, Karmishtha Seth- Scripps 2021S, Second Reader with First Reader Weiqing Gu

Random Matrix Theory: A Combinatorial Proof of Wigner's Semicircle Law, Vanessa Wolf - Scripps 2021S, Second Reader with First Reader Michael O'Neill

Convergence Time of the Recombination Markov Chain on Small Planar Graphs, Emma Kolesnik - Scripps 2020F, Second Reader with First Reader Sarah Cannon

Winning Moves: Mathematical strategies behind certain games and their philosophical implications, Ellye Groh - Scripps 2020S, Dual Thesis - First Reader Along with Dion Scott-Kakures