Kay Ellison

Kay Ellison Email and Phone Number

PhD Candidate in Neuroscience at Yale University @ Yale University
Woodbridge Hall, New Haven, ct 6520, us
Kay Ellison's Location
New Haven, Connecticut, United States, United States
Kay Ellison's Contact Details

Kay Ellison work email

Kay Ellison personal email

n/a
About Kay Ellison

Kay Ellison is a PhD Candidate in Neuroscience at Yale University at Yale University.

Kay Ellison's Current Company Details
Yale University

Yale University

View
PhD Candidate in Neuroscience at Yale University
Woodbridge Hall, New Haven, ct 6520, us
Website:
yale.edu
Employees:
10
Company phone:
(203)432-4113
Company email:
brita.belli@yale.edu
Kay Ellison Work Experience Details
  • Yale University
    Phd Candidate
    Yale University Aug 2019 - Present
  • University Of Oxford
    Instrument Engineer
    University Of Oxford Mar 2017 - Jun 2019

Kay Ellison Education Details

Frequently Asked Questions about Kay Ellison

What company does Kay Ellison work for?

Kay Ellison works for Yale University

What is Kay Ellison's role at the current company?

Kay Ellison's current role is PhD Candidate in Neuroscience at Yale University.

What is Kay Ellison's email address?

Kay Ellison's email address is ka****@****ale.edu

What schools did Kay Ellison attend?

Kay Ellison attended Imperial College London.

Who are Kay Ellison's colleagues?

Kay Ellison's colleagues are Yijun Qian, Andrew Card, Denise Cusanelli, Wei Nie, Ann Perrelli, Anurag Jena, Brian Buccino.

Not the Kay Ellison you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.