Roy Lowrance
Founder And CEO, Applied Data Science, LLC
Miami, Florida, United States
Summary
👤
Senior🎓
Top SchoolRoy Lowrance is a seasoned data science entrepreneur and executive with 14+ years focused on designing and deploying predictive machine learning and AI systems, and decades of senior technology leadership across finance, media, and consulting. As Founder & CEO of Applied Data Science and co-founder of 7 Chord, he builds production ML signals for real-world markets and has overseen anonymous candidate-job matching and bond-price forecasting systems. He helped architect NYU’s Center for Data Science and later taught “Machine Learning for Engineers,” demonstrating a rare blend of academic rigor (PhD in CS) and product delivery. Earlier CTO roles at Capital One and Reuters show his ability to drive large organizational change—reducing development cycle time dramatically and generating substantial IT value. His open-source Torch7 work includes implementing a multinomial logistic regression with SGD and L-BFGS training loops, reflecting hands-on modeling and tooling skills. Based in Miami, he pairs strategic board experience with a practical track record of turning complex data science into revenue-driving products.
14 years of coding experience
34 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at New York UniversityBA, Mathematics, BA, Mathematics at Vanderbilt UniversityMBA, General Management, MBA, General Management at Harvard Business School
English
Stackoverflow
1reputation
491reached
0answers
3questions
Github Skills (14)
lua10
torch-hub10
logistic-regression10
machine-learning10
torch-net10
gd9
csv9
sgd9
data-analysis7
multiprocessing6
hadoop6
python6
streaming6
r6
Programming languages (6)
Github contributions (5)
torch/demos
Apr 2012 - May 2012
Demos and tutorials around Torch7.
Role in this project:
Data Scientist
Data ScientistContributions:40 commits in 28 days
Contributions summary:Roy's contributions center on developing and refining a multinomial logistic regression model. They've implemented the model using Lua and Torch, with the code demonstrating the setup of linear and softmax layers. Furthermore, they've integrated a training loop with SGD and L-BFGS optimization algorithms, providing a complete example. The user has also created supporting code, including a CSV reader and a test suite to ensure the functionality of the class.
rlowrance/re
Aug 2013 - Jan 2015
Contributions:760 commits, 1 push in 1 year 5 months
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