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Ethan Rosenthal Email & Phone Number
Adjunct Professor
at
NYU Tandon, Finance & Risk Engineering Department
1 work email found
@squareup.com
3 phones found area 410, 646, and 855
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Adjunct Professor
Location
New York, United States
Who is Ethan Rosenthal? Overview
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Quick answer
Ethan Rosenthal is listed as Adjunct Professor at NYU Tandon, Finance & Risk Engineering Department, based in New York, United States. AeroLeads shows a work email signal at squareup.com, phone signal with area code 410, 646, 855, and a matched LinkedIn profile for Ethan Rosenthal.
Ethan Rosenthal previously worked as Member of Technical Staff at Runway and Staff AI Engineer at Square. Ethan Rosenthal holds Phd, Physics from Columbia University.
Company email context
Email format at NYU Tandon, Finance & Risk Engineering Department
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{first}@squareup.com
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AeroLeads found 1 current-domain work email signal for Ethan Rosenthal. Compare company email patterns before reaching out.
Profile bio
About Ethan Rosenthal
www.ethanrosenthal.com
Listed skills include Physics, Data Analysis, Latex, Mathematical Modeling, and 11 others.
Current workplace
Ethan Rosenthal's current company
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Nyu Tandon, Finance & Risk Engineering Department
AeroLeads page
15 roles
Ethan Rosenthal work experience
A career timeline built from the work history available for this profile.
Member Of Technical Staff
Current
Jan 2024 - Present
Adjunct Professor
CurrentTeaching FRE 7773 Machine Learning in Financial Engineering
Sep 2022 - Present
Staff Ai Engineer
I led a team building conversational AI for Square Messages, a messaging hub for Square merchants to communicate with their customers. We saved merchants time by progressively automating their conversations with in-house chatbots and large language models.
Oct 2023 - Jan 2024
Ai Engineering Lead
Apr 2021 - Oct 2023
Machine Learning Engineer
Worked on the Risk team building frameworks for managing the life cycle of machine learning models for fraud detection.
Jan 2020 - Apr 2021
Data Science Consultant
Freelance data science consulting for a range of clients and industries. Also tried to start a machine learning model monitoring company.
Oct 2018 - Jan 2020
Technical Advisor
Provided technical mentorship to post-PhD, early career Data Scientists. Topics include product thinking, software engineering, and machine learning.
Jan 2018 - Jan 2020
Lead Machine Learning Engineer
Joined at the Seed stage as the first Data person and third Engineer. I built a lot of things and then ended up managing a team of MLEs, analysts, and engineers. Primary work involved recommendation systems, forecasting, computer vision, and mixed integer programming.
Aug 2016 - Oct 2018
Data Scientist
Increasing personalization by building data science products. My work is broadly grouped into 3 subject areas:• Recommender systems: modern, contextualized recommendations utlizing implicit feedback and side information in a learning to rank, factorization-based framework. So many buzzwords.• Optimization/Operations: Solving assortment, allocation, and scheduling problems using mixed-integer programming.• Classification/Regression: Predicting things with medium-sized datasets (hundreds of millions of samples, thousands of features).
Jun 2015 - Jul 2016
Graduate Research Assistant
I worked in Abhay Pasupathy's lab using scanning tunneling microscopy and spectroscopy to study strongly correlated phenomena like charge density waves and unconventional superconductivity. The work ranged from designing and building scientific instrumentation to image processing and computational modeling.
Jan 2010 - May 2015
Fellow
Built TutorWorthy, a Python-based web application that helps private NYC tutors find their market value.
Jan 2015 - Mar 2015
Nsf Reu Student Researcher
Fabrication, transport, and atomic force microscopy of graphene-dielectric heterostructures in the lab of Philip Kim
Jun 2008 - Aug 2008
Undergraduate Student Researcher
Microfluidics device fabrication for lab-on-a-chip applications.
Jan 2007 - May 2008
Summer Undergraduate Research Fellow
Low temperature transport characterization of devices used for optical spectroscopy of self assembled quantum dots.
May 2007 - Aug 2007
4 education records
Ethan Rosenthal education
Phd, Physics
Columbia University
Master Of Philosophy (M.Phil.), Physics
Columbia University
Master Of Arts (M.A.), Physics
Columbia University
Bs, Physics
James Madison University
FAQ
Frequently asked questions about Ethan Rosenthal
Quick answers generated from the profile data available on this page.
What company does Ethan Rosenthal work for?
Ethan Rosenthal works for NYU Tandon, Finance & Risk Engineering Department.
What is Ethan Rosenthal's role at NYU Tandon, Finance & Risk Engineering Department?
Ethan Rosenthal is listed as Adjunct Professor at NYU Tandon, Finance & Risk Engineering Department.
What is Ethan Rosenthal's email address?
AeroLeads has found 1 work email signal at @squareup.com for Ethan Rosenthal at NYU Tandon, Finance & Risk Engineering Department.
What is Ethan Rosenthal's phone number?
AeroLeads has found 3 phone signal(s) with area code 410, 646, 855 for Ethan Rosenthal at NYU Tandon, Finance & Risk Engineering Department.
Where is Ethan Rosenthal based?
Ethan Rosenthal is based in New York, United States while working with NYU Tandon, Finance & Risk Engineering Department.
What companies has Ethan Rosenthal worked for?
Ethan Rosenthal has worked for Nyu Tandon, Finance & Risk Engineering Department, Runway, Square, Rosenthal Data, Llc, and Insight Data Science.
How can I contact Ethan Rosenthal?
You can use AeroLeads to view verified contact signals for Ethan Rosenthal at NYU Tandon, Finance & Risk Engineering Department, including work email, phone, and LinkedIn data when available.
What schools did Ethan Rosenthal attend?
Ethan Rosenthal holds Phd, Physics from Columbia University.
What skills is Ethan Rosenthal known for?
Ethan Rosenthal is listed with skills including Physics, Data Analysis, Latex, Mathematical Modeling, Python, Spectroscopy, Machine Learning, and Teaching.
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