Kevin Ryan Head of Data Analytics

 

My Career

I'm the Head of Data Analyitcs for Chess.com with 15 years experience applying machine learning and optimization methods to a wide range of applications, solving complex problems through data-driven decision-making.

Chess.com

I drive the strategy and vision for Data Analytics across all Chess.com properties. My team serves all the reporting, analytics, and experimentation needs for the comapny.

Zynga

I manage a team of 10 Data Scientists, Analysts, and Managers. We build data pipelines, analytics reports, dashboards, predictive models, you name it!

GE

I researched and developed state-of-the-art statistical learning methods for GE's multi-billion dollar businesses.

Government

As part of the intelligence community, I provided technical analyses and assessments for Senior Policy Makers and the President.

My Hobbies

Over the years, I've turned my hobbies into small businesses. They have served as a fun way to keep my skills sharp and learn new tech along the way.

Melon Studios

I've been developing mobile games for both Android and iOS for 12+ years. My games and apps have reached 1,500,000+ users from all over the world.

Website

QuantShift

I co-founded a business that provides day traders with ML-powered quantitative analytics for stock trading.

Website

My Expertise

I'm passionate about a wide range of topics: design, comp-sci, math, and science. Below are some examples where I've built up some expertise.

Code

My main development languages are Python and Java, but I have worked with Javascript, Dart, and many more.

Tools

image/svg+xml

Git, Docker, Databricks, Airflow, and more. The key is to use the right tool for the job.

Frameworks

I've dabbled in many of the products in the AWS ecosystem. I built a cross-platfrom game in Flutter and have extensive experience building Flask APIs.

My Education
and Publications

I have a Ph.D. in Aerospace Engineering from the University of Maryland. Below are my publications from both academia and my professional work experience.

Publications

A Gaussian Process Modeling Approach for Fast Robust Design with Uncertain Inputs.
June 2018.
ASME TurboExpo
Paper

An Intelligent Sampling Framework for Multi-Objective Optimization in High-Dimensional Design Space.
January 2018.
AIAA SciTech Forum
Paper

Bayesian Multi-Source Modeling with Legacy Data.
January 2018.
AIAA SciTech Forum
Paper

Heteroskedastic Gaussian Process Meta-Models for Improved Predictive Uncertainties.
May 2017.
Proceedings of ASME Verification and Validation Symposium
 N/A 

Predictive Analytics with an Advanced Bayesian Modeling Framework.
April 2017.
MODSIM World Conference
Paper

Comparison of Robust Optimization Methods Applied to Hypersonic Vehicle Design.
February 2015.
AIAA Journal of Aircraft
Paper

Robust Multi-Objective Optimization of Hypersonic Vehicles Under Asymmetric Roughness-Induced Boundary-Layer Transition.
May 2014.
Ph.D. Dissertation
Paper

A Multi-Objective Post-Optimality Data Handling Approach to Robust Optimization.
January 2014.
AIAA Multidisciplinary Design Optimization Conference
Paper

Comparison of Robust Optimization Methods Applied to Hypersonic Vehicle Design.
August 2013.
AIAA Modeling and Simulation Technologies (MST) Conference
Paper

Multi-Objective Optimization of Hypersonic Vehicles under Asymmetric Boundary-Layer Conditions.
September 2012.
AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference
Paper

Trajectory Optimization Studies of Long Range Morphing Projectiles.
August 2012.
AIAA Atmospheric Flight Mechanics Conference
Paper

Trajectory Optimization and Aerodynamic Modeling of Long Range Morphing Projectiles .
December 2011.
M.S. Thesis
Paper