CONTACT
bausth2@uic.edu
EDUCATION
University of Illinois | Chicago | Illinois
PHD in Mathematics | May 2026 | GPA: 3.8/4.0
Western Michigan University | Kalamazoo | Michigan
BA in Mathematics | April 2019 | GPA: 4.0/4.0
WORK EXPERIENCE
Graduate Teaching Assistant | University of Illinois | Chicago | August 2020 –
Led discussions for Pre-Calculus, Applied Calculus, Differential Equations, and Intro to Python.
Taught material including: function transforms, trigonometry, logarithmic properties, integration, derivation, partial differential equations, basics of loops, lists, and object-oriented programming.
Graded tests, projects and assignments for various upper level courses including: Algorithms, Combinatorics, Linear Algebra, and Introduction to Symbolic Computation.
Data Science Intern | Lakril Technologies | Chicago, IL | June 2024 – August 2024
Conducted statistical analysis of experimental conditions effect on selectivity to acrylates for a chemical engineering startup
Converted a large data set from excel into a cleaned pandas data-frame.
Catalytic data generated by laboratory scale chemical plants were analyzed with regression models to understand the impact of plant process conditions and catalyst formulation on catalytic performance.
These models were used to identify key process variables which impact performance and enhance catalyst lifetime and product selectivity.
Youth Scholar Program Lead Instructor | University of Illinois | Chicago | June 2022 – August 2022
Designed and taught mathematical curriculum for advanced high school students. Led project-based learning and organized activities and problem-solving sessions.
Data Science Intern | CCC Intelligent Solutions | Chicago, IL | June 2021 – August 2021
Analyzed the ability of car features to reduce the frequency and severity of collisions.
Cleaned a large data set with thousands of data points.
Used correlation maps and to conduct efficient feature selection.
Employed regression analysis to pinpoint which feature greatest influenced the model.
PROJECT EXPERIENCE
Predictive Wine Analysis | Intro to Big Data Structures | University of Illinois | Chicago | August 2022 – December 2022
Predicted whether a wine was red or white with high accuracy and predicted quality score.
Analyzed the influence of 12 variables on the quality score of wine using R conducted a regression analysis.
Utilized the features as the variables in another model, this time creating a binary variable indicating red or white, with 93% accuracy classified a wine correctly.
PRE-PRINT
Austhof, B., Reyzin, L. Cross-Validation Error Dynamics in Smaller Datasets. MOSS@ICML, 2025.
PUBLICATIONS
Bethany Austhof, Lev Reyzin, Erasmo Tani. Non-Adaptive Learning of Random Hypergraphs with Queries. In the Proceedings of the 58th IEEE International Symposium on Information Theory (ISIT), 2025.
Bethany Austhof, Lev Reyzin. A Model for Optimizing Recalculation Schedules to Minimize Regret. In the Proceedings of the 18th International Symposium on Artificial Intelligence and Mathematics (ISAIM), 2024. pp. 1–9.
Bethany Austhof, Patrick Bennett, Nick Christo. The set of ratios of derangements to permutations in digraphs is dense in [0,1/2], Electronic Journal of Combinatorics. (2021) Vol. 29(1), p.1.8.
Bethany Austhof, Sean English. Nearly-Regular Hypergraphs and Saturation of Berge Stars, Electronic Journal of Combinatorics. (2019) Vol. 26(4), p.4.49.
SKILLS, ACTIVITIES & INTERESTS
Technical Skills: TouchDesigner, Maya, Arduino
Programming Languages: R, Python: Pandas, SKlearn, Seaborn, Matplotlib
Certifications & Training: Erdos Institute Data Science Bootcamp certificate
Activities: Math Club Treasurer at Western Michigan University, Member of Symbols of Inclusion at UIC, organizing and grievance chair in the Graduate Employees Organization.