Ryan Montgomery Email & Phone Number

San Francisco Bay Area

- User segmentation and cohort analysis of student usage of digital learning tools- Dynamic Bayesian Network statistical modeling of student learning as measured through unobtrusive assessments- Determining optimal data-collection strategy- Building and running Monte Carlo simulations of student learning to guide curriculum development- Conducting student-interviews to calibrate and improve assessment items- Developing innovative digital science curriculum, assessments, and… Show more - User segmentation and cohort analysis of student usage of digital learning tools- Dynamic Bayesian Network statistical modeling of student learning as measured through unobtrusive assessments- Determining optimal data-collection strategy- Building and running Monte Carlo simulations of student learning to guide curriculum development- Conducting student-interviews to calibrate and improve assessment items- Developing innovative digital science curriculum, assessments, and simulations Show less

San Mateo, Ca

- Applied and adapted Machine Learning algorithms to group and classify users (including SVMs, Neural Nets, Random Forests, and Deep Belief Networks)- Designed and implemented data-collection efforts to improve classification- Designed and implemented analyses of the Twitter stream using Amazon Elastic MapReduce/Hadoop- Developed and implemented a personality-type based Recommendation System

Developing web-based visualization tools to help faculty/admin locate bottlenecks in their course dependencies and to help students navigate through their course requirements. Surfacing data-driven insights from student progress through their course requirements to guide curricular policy decisions.

Designing and teaching Intro to Astronomy courses.Developed and implemented inquiry-based learning experiences for class sizes ranging from 25-250 people.Read that last line again. Making inquiry-based learning happen with classes that large was a big deal.

Modeling searches for extra-solar planets.Analyzing photometric and spectroscopic data for transiting planet signals.

Modeled the formation of extrasolar planets and ran simulations of searches for them to guide observations.

Phd, Astronomy And Astrophysics

Thesis topic: "Simulations of Planet Formation and Detection around Local M-dwarf Stars"

Bs, Physics

Graduated Cum Laude in Physics and with a minor in Philosophy.

Education record