Gautam Ramkumar

Gautam Ramkumar: Email & Phone Number

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Machine Learning Researcher at Berkeley Lab|United States

Position:

Machine Learning Researcher at Berkeley Lab

Location:

United States

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Last updated: 2026-05-27
Updated: 2026-05-27

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Work Experience 3 years

Machine Learning Researcher at Berkeley Lab

Feb 2026 - Current

Undergraduate Researcher at Berkeley Lab

Oct 2024 - Current

Course Tutor at UC Berkeley Department of Statistics

Jan 2025 - Current

Researcher at Merck

Jan 2026 - May 2026

Astrophysics Researcher at SSP International

Jun 2023 - Jul 2023

Gautam Ramkumar started working in 2023, then the employee has changed 3 companies and 4 jobs. On average, Gautam Ramkumar works for one company for 8 months.

Education

Bachelor of Arts - BA at University of California, Berkeley

North Allegheny High School

Frequently Asked Questions

What is Gautam Ramkumar's email address?

SignalHire found verified email addresses for Gautam Ramkumar, both business and personal. Their business email is g***********************r@gmail.com, and personal emails include g***************6@gmail.com.

What is Gautam Ramkumar's phone number?

SignalHire found a verified phone number for Gautam Ramkumar: +1-***-***-1596.

How do I contact Gautam Ramkumar at Berkeley Lab?

You can reach Gautam Ramkumar through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.

What is Gautam Ramkumar's professional background?

Gautam Ramkumar has 3 years of professional experience. They have held roles including Undergraduate Researcher, Course Tutor, and Researcher at companies such as Berkeley Lab, UC Berkeley Department of Statistics, and Merck. Their education includes Bachelor of Arts - BA from University of California, Berkeley, and North Allegheny High School.

Is Gautam Ramkumar's contact information up to date?

Yes. Gautam Ramkumar's SignalHire profile was last updated on 27 May 2026, reflecting their current position as Machine Learning Researcher at Berkeley Lab in Berkeley, CA, United States.

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