AeroLeads people directory · profile

Karan Goel Email & Phone Number

Founder and CEO at Cartesia
Location: Stanford, California, United States 15 work roles 5 schools
1 work email found @cartesia.ai 2 phones found area 412 and 919 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email k****@cartesia.ai
Direct phone (412) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Founder and CEO
Location
Stanford, California, United States
Company size

Who is Karan Goel? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Karan Goel is listed as Founder and CEO at Cartesia, a company with 63 employees, based in Stanford, California, United States. AeroLeads shows a work email signal at cartesia.ai, phone signal with area code 412, 919, and a matched LinkedIn profile for Karan Goel.

Karan Goel previously worked as Founder / CEO at Cartesia and Machine Learning Researcher, Salesforce AI Research at Salesforce. Karan Goel holds Doctor Of Philosophy - Phd, Computer Science from Stanford University.

Company email context

Email format at Cartesia

This section adds company-level context without repeating Karan Goel's masked contact details.

{first}@cartesia.ai
89% confidence

AeroLeads found 1 current-domain work email signal for Karan Goel. Compare company email patterns before reaching out.

Profile bio

About Karan Goel

Building Cartesia and bringing state space models to the mainstream.

Listed skills include Machine Learning, Algorithms, C++, Artificial Intelligence, and 13 others.

Current workplace

Karan Goel's current company

Company context helps verify the profile and gives searchers a useful next step.

Cartesia
Cartesia
Founder and CEO
Stanford, CA, US
Website
Employees
63
AeroLeads page
15 roles

Karan Goel work experience

A career timeline built from the work history available for this profile.

Founder And Ceo

Stanford, CA, US

Founder / Ceo

Current
Sep 2023 - Present

Machine Learning Researcher, Salesforce Ai Research

San Francisco, California, US

Part-time collaboration on evaluating machine learning models.

Sep 2019 - Mar 2022

Deep Learning Research Intern, Salesforce Ai Research

San Francisco, California, US

Supervised by Dr. Nazneen Rajani, Dr. Stephan Zheng, Dr. Caiming Xiong and Dr. Richard Socher. Generalization and interpretability in (deep) reinforcement learning.

Jun 2019 - Sep 2019

Research Scientist

Redwood City, California, US

Deploying my research from Stanford into production at Snorkel.

Jul 2021 - Dec 2021

Greylock X Fellow (2020)

Menlo Park, CA, US

Learning about entrepreneurship and the VC industry.

Jun 2020 - Oct 2020

Phd Rotation Student

Stanford, CA, US

Supervised by Prof. Jure Leskovec. Graph generation using reinforcement learning.

Apr 2019 - Jun 2019

Phd Rotation Student

Stanford, CA, US

Supervised by Prof. Chris Ré. Incorporating additional supervision to improve sample efficiency and transfer in inverse reinforcement learning.

Jan 2019 - Apr 2019

Phd Rotation Student

Stanford, CA, US

Supervised by Prof. Emma Brunskill and Prof. Fei-Fei Li. Providing automated feedback for people learning physical tasks.

Sep 2018 - Dec 2018

Visiting Research Assistant

Stanford, CA, US

Supervised by Prof. Emma Brunskill. Hierarchical abstractions in deep reinforcement learning, reinforcement learning for intelligent tutoring systems and learning abstractions from offline batch data. See our ICLR 2019 and AAMAS 2019 papers.

Jul 2017 - Aug 2018

Graduate Research Assistant

Pittsburgh, PA, US

Supervised by Prof. Emma Brunskill. Efficient policy search for optimal stopping and applications of reinforcement learning to educational data mining. See our IJCAI 2017 paper and NeurIPS 2018 workshop writeups.

Jul 2016 - May 2018

Intern, Data Mining & Machine Learning Group

Zurich, ZH, CH

Supervised by Dr. Aldo Dagnino. Data analytics for improving downtime and plant efficiency for ABB's global customers.

May 2014 - Jul 2014
5 education records

Karan Goel education

Doctor Of Philosophy - Phd, Computer Science

Stanford University

Master Of Science (M.S.), Machine Learning

Carnegie Mellon University

Dual Degree: Bachelor'S + Master'S, Electrical Engineering (Eecs)

Indian Institute Of Technology, Delhi

Exchange Student, Eecs

Insa Lyon - Institut National Des Sciences Appliquées De Lyon

High School Diploma, Science (With Computer Science)

Delhi Public School - R. K. Puram
FAQ

Frequently asked questions about Karan Goel

Quick answers generated from the profile data available on this page.

What company does Karan Goel work for?

Karan Goel works for Cartesia.

What is Karan Goel's role at Cartesia?

Karan Goel is listed as Founder and CEO at Cartesia.

What is Karan Goel's email address?

AeroLeads has found 1 work email signal at @cartesia.ai for Karan Goel at Cartesia.

What is Karan Goel's phone number?

AeroLeads has found 2 phone signal(s) with area code 412, 919 for Karan Goel at Cartesia.

Where is Karan Goel based?

Karan Goel is based in Stanford, California, United States while working with Cartesia.

What companies has Karan Goel worked for?

Karan Goel has worked for Cartesia, Salesforce, Snorkel Ai, Greylock, and Stanford University.

How can I contact Karan Goel?

You can use AeroLeads to view verified contact signals for Karan Goel at Cartesia, including work email, phone, and LinkedIn data when available.

What schools did Karan Goel attend?

Karan Goel holds Doctor Of Philosophy - Phd, Computer Science from Stanford University.

What skills is Karan Goel known for?

Karan Goel is listed with skills including Machine Learning, Algorithms, C++, Artificial Intelligence, Html, Java, Computer Science, and Programming.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.