Ryan Compton Email & Phone Number
@ebay.com
LinkedIn matched
Who is Ryan Compton? Overview
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Ryan Compton is listed as Founding Forward Deployed Data Engineer at Eliza, based in San Francisco, California, United States. AeroLeads shows a work email signal at ebay.com and a matched LinkedIn profile for Ryan Compton.
Ryan Compton previously worked as Forward Deployed Data Engineer at Eliza and Senior Machine Learning Engineer at Lightning Ai. Ryan Compton holds Doctor Of Philosophy (Phd), Computer Science from Baskin Engineering At Ucsc.
Email format at Eliza
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AeroLeads found 1 current-domain work email signal for Ryan Compton. Compare company email patterns before reaching out.
About Ryan Compton
I am Data Scientist/Researcher interested in how individual and social behavior can be explained by large scale data analysis. I actively explore how to bridge the insights gained from machine learning systems into fair, accountable, and transparent models. I currently work at Lamini as a Solution Architect helping people build their own superintelligence!
Listed skills include Research, Data Analysis, Statistics, Quantitative Research, and 18 others.
Ryan Compton's current company
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Ryan Compton work experience
A career timeline built from the work history available for this profile.
Forward Deployed Data Engineer
Senior Machine Learning Engineer
Solution Architect
Current
Senior Data Scientist
- Developed deep learning models to support farming management practices.- Built MLOps processes for robust statistical and machine learning models in production.- Mentored interns working on experimental projects enhancing modeling capabilities.- Led coding and software engineering cultural principles within the modeling organization.
Senior Data Scientist
- Implemented AI production systems with actionable insights across medical, financial, and manufacturing industries.- Contributed to internal product development of C3's AI platform for automated model governance.- Lead research on state-of-the-art approaches for Explainable AI and Graphical Applications.
Data Scientist
- Built explainable AI systems to combat money laundering.- Conducted research on Dynamic Clustering, Graph Embeddings, and Explainable AI insights.- Lead and expanded Data Science team.
Computer Science Phd Candidate
My thesis centered on the study of the behaviors, interactions, influences, and changes that individuals of certain social roles go through in an online community. This encompasses four main areas of research.◊ Distinguishing member and leader rolesOne major distinction within communities is between leaders and members. My work is continuing on the already existing literature of online social roles through examining social roles within enterprise communities. Through a mixed method approach of analyzing content and behaviors of self defined roles, I have been able to develop models in order to distinguish such roles.◊ Ecology of Social RolesSocial roles typically are defined in relational terms, with this in mind it is needed to understand the social influence that roles have on each other. This work is expanding upon simple role differences by examining a community as an ecology through social network analysis and graphical modeling. Two approaches my work is taking is that of user-community interaction and smaller dyadic interactions between two users.◊ Success of Social Role BehaviorsSocial roles typically are defined in relational terms, with this in mind it is needed to understand the social influence that roles have on each other. This work is expanding upon simple role differences by examining a community as an ecology through social network analysis and graphical modeling. Two approaches my work is taking is that of user-community interaction and smaller dyadic interactions between two users.◊ Role dynamics over timeThere is has been much literature on the changes of roles and communities over time, however little quantitative evidence has been provided. My final goal of my thesis is to understand social role changes over time and how member-leader responsibilities are fluid through the life-cycle of a community.
Data Scientist Intern
Developed metric to measure repetitive communication within work teams to highlight productive communication behaviors. Utilized statistical and machine learning methods to identify the usability for customers.
Data Scientist Intern
Explored impact of sub-network types to team performance within enterprise email networks. Identified low performing group behavior through graphical, statistical, and time series methods.
Intern Technical Phd
Incorporated Progressive Web App features in the design prototype environment used within the Design, Research, and Strategy team. Designed and conducted 2-part study into the impact progressive web app features have on the user experience.
Intern Technical Phd
Built automated user tracking system for user studies within Design, Research and Strategy team. Conducted pilot study to showcase the value quantitative methods have to understanding user experience in web apps.
Contributing Member
Contributing Member to a world wide group of researchers within the Stanford Crowd Research Collective led by Michael Bernstein.-Collaboratively designed, built, and tested Boomerang, a reputation system designed to more accurately represent true beliefs of workers and requesters within crowd marketplaces-Collaborated on designing a leadership organization within crowd marketplaces to represent workers and requesters and address concerns of the community
Undergraduate Researcher
Researching Router Driver Software for Router Optimization
Undergraduate Researcher
Building UI for use of citizen science model to gather ant path observations.
Undergraduate Researcher
Testing differences within rat sexes' ability to optimize within an open field containing traveling salesman-like properties and various influences
Research Assistant
Observing human subject behavior and coding position through Eshkol Wachman Movement Notation
Undergraduate Researcher
Testing possible semantic suppression of visual objects under binocular rivalry
Ryan Compton education
Doctor Of Philosophy (Phd), Computer Science
Bachelor Of Science (Bs), Psychology And Computer Science
Bachelor Of Arts (B.A.), Sociology
Frequently asked questions about Ryan Compton
Quick answers generated from the profile data available on this page.
What company does Ryan Compton work for?
Ryan Compton works for Eliza.
What is Ryan Compton's role at Eliza?
Ryan Compton is listed as Founding Forward Deployed Data Engineer at Eliza.
What is Ryan Compton's email address?
AeroLeads has found 1 work email signal at @ebay.com for Ryan Compton at Eliza.
Where is Ryan Compton based?
Ryan Compton is based in San Francisco, California, United States while working with Eliza.
What companies has Ryan Compton worked for?
Ryan Compton has worked for Eliza, Lightning Ai, Lamini, Bayer, and C3.Ai.
How can I contact Ryan Compton?
You can use AeroLeads to view verified contact signals for Ryan Compton at Eliza, including work email, phone, and LinkedIn data when available.
What schools did Ryan Compton attend?
Ryan Compton holds Doctor Of Philosophy (Phd), Computer Science from Baskin Engineering At Ucsc.
What skills is Ryan Compton known for?
Ryan Compton is listed with skills including Research, Data Analysis, Statistics, Quantitative Research, Qualitative Research, Spss, Machine Learning, and Weka.
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