Co-Founder / Ceo
Current
Jan 2024 - Present
AeroLeads people directory · profile
Julius Adebayo Email & Phone Number
Building interpretable models at Guide Labs
at
Guide Labs
1 work email found
@apple.com
1 phone found area 386
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Building interpretable models at Guide Labs
Location
San Francisco, California, United States
Who is Julius Adebayo? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Julius Adebayo is listed as Building interpretable models at Guide Labs at Guide Labs, based in San Francisco, California, United States. AeroLeads shows a work email signal at apple.com, phone signal with area code 386, and a matched LinkedIn profile for Julius Adebayo.
Julius Adebayo previously worked as Co-Founder / CEO at Guide Labs and Postdoctoral Researcher at Prescient Design. Julius Adebayo holds Doctor Of Philosophy - Phd, Electrical Engineering And Computer Science from Massachusetts Institute Of Technology.
Company email context
Email format at Guide Labs
This section adds company-level context without repeating Julius Adebayo's masked contact details.
{first_initial}{last}@apple.com
86% confidence
AeroLeads found 1 current-domain work email signal for Julius Adebayo. Compare company email patterns before reaching out.
Profile bio
About Julius Adebayo
Julius Adebayo is a Building interpretable models at Guide Labs at Guide Labs. He possess expertise in python, data analysis, analytics, data mining, machine learning and 10 more skills.
Listed skills include Python, Data Analysis, Analytics, Data Mining, and 11 others.
Current workplace
Julius Adebayo's current company
Company context helps verify the profile and gives searchers a useful next step.
11 roles
Julius Adebayo work experience
A career timeline built from the work history available for this profile.
Postdoctoral Researcher
Nov 2022 - Dec 2023
Research Intern
Jun 2021 - Aug 2021
Brain Resident
Jul 2017 - Jul 2018
Research Engineer
Sep 2016 - Jun 2017
Data Scientist
Jun 2016 - Aug 2016
Data Science Extern
Jan 2015 - Jan 2015
Data Science Fellow
Center For Data Science And Public Policy, University Of Chicago
Jun 2014 - Aug 2014
Research Analyst
Sep 2012 - Aug 2013
Research Assistant
Aug 2010 - Aug 2012
Research Intern
Jun 2011 - Aug 2011
4 education records
Julius Adebayo education
Doctor Of Philosophy - Phd, Electrical Engineering And Computer Science
Massachusetts Institute Of Technology
Master’S Degree, Electrical Engineering And Computer Science
Massachusetts Institute Of Technology
Master’S Degree, Technology And Policy
Massachusetts Institute Of Technology
Bachelor’S Degree, Mechanical Engineering
Brigham Young University
FAQ
Frequently asked questions about Julius Adebayo
Quick answers generated from the profile data available on this page.
What company does Julius Adebayo work for?
Julius Adebayo works for Guide Labs.
What is Julius Adebayo's role at Guide Labs?
Julius Adebayo is listed as Building interpretable models at Guide Labs at Guide Labs.
What is Julius Adebayo's email address?
AeroLeads has found 1 work email signal at @apple.com for Julius Adebayo at Guide Labs.
What is Julius Adebayo's phone number?
AeroLeads has found 1 phone signal(s) with area code 386 for Julius Adebayo at Guide Labs.
Where is Julius Adebayo based?
Julius Adebayo is based in San Francisco, California, United States while working with Guide Labs.
What companies has Julius Adebayo worked for?
Julius Adebayo has worked for Guide Labs, Prescient Design, Meta, Google, and Fast Forward Labs.
How can I contact Julius Adebayo?
You can use AeroLeads to view verified contact signals for Julius Adebayo at Guide Labs, including work email, phone, and LinkedIn data when available.
What schools did Julius Adebayo attend?
Julius Adebayo holds Doctor Of Philosophy - Phd, Electrical Engineering And Computer Science from Massachusetts Institute Of Technology.
What skills is Julius Adebayo known for?
Julius Adebayo is listed with skills including Python, Data Analysis, Analytics, Data Mining, Machine Learning, Matlab, Statistics, and R.
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