Ryan Franks Email & Phone Number

Evanston, IL, US

Greater Chicago Area

• Designed, implemented, published, productionized, and optimized a novel model-agnostic pipeline for identifying and strategically mitigating contributors to model-level disparate impact
• Developed heterogeneous graph neural networks using edge features for fraud detection
• Built an in-house dataset library and performed meta-learning studies, including empirically investigating the impacts of hyperparameter tuning and missing value imputation

Greater Chicago Area

• Designed, implemented and filed patent on a novel deep-learning framework for datasets with tabular or sequence structures, yielding competitive results in fraud, acquisitions, and AML
• Supported a graduate summer intern and a rotating PhD data scientist through their projectsResearch papers: ▫ Wasserstein-based fairness interpretability framework for machine learning models. Machine Learning Journal.

Greater Chicago Area

• Reduced over-fitting risk in AML models by improving the rigor of validation dataset use during adaptive model design
• Identified novel AML features using exploratory data analysis in SQL and built models in R

Tampa/St. Petersburg, Florida Area

• Designed and implemented novel outlier detection method with improved accuracy and 40% fewer households flagged
• Introduced new metrics for identifying suspicious household viewership behaviors, raising confidence in field operations responses to suspicious households
• Streamlined and improved readability of outlier reports for ease-of-use by field operations

Greater Chicago Area

• Created a new analytic thermodynamic model to conceptually capture experimental observations of self-assembling nano-particles and predict trends in nano-particle design
• Designed new electron beam lithography patterns for promoting self-assembly and validated them through course-grained molecular dynamics simulations

Evanston, Illinois

• Accelerated LAMMPS molecular dynamics simulation by 5-10x using GPU computing in HOOMD
• Gave one hour presentation to research team on how to use HOOMD and migrate from LAMMPS when applicable
• Developed new format for molecular dynamics files designed for converting LAMMPS simulations to HOOMD simulations and vice-versa for use in validation

Bachelor Of Science (Bs), Materials Engineering, 3.96

Activities and Societies: Slivka Vice President of Financial Affairs, Undergraduate Research Peer Mentor, Member of Working Group for.

Bachelor Of Science - Bs, Applied Mathematics, 3.95

Education record