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Manu Chopra

2x founder

Manu Chopra

Co-Founder @ Linum

2022Co-founder· Startup Wilderness
Founder · since 2022
Company
Startup Wilderness
Role
Co-Founder
Stage
—
no public source
Raised
—
no public source
Based
San Francisco Bay Area
Founder / co-founder — the company's markEmployee / research role
Source: LinkedIn work history
Profile coverage5 of 7 · missing posts, contact
Linum logo
Linum

type text, dream video

Winter 2023

Experience

Career

  • Linum logo

    Linum

    Co-founder

    Co-Founder · San Francisco · 2022 – Present

    2022
  • Startup Wilderness

    Co-founder

    Co-Founder · San Francisco Bay Area · 2022

    2022
  • University of California, San Francisco logo

    University of California, San Francisco

    Research Assistant · San Francisco Bay Area · 2019 – 2021

    2019
  • Amazon logo

    Amazon

    Software Engineer Intern · 2021

    2021
  • Berkeley Artificial Intelligence Research logo

    Berkeley Artificial Intelligence Research

    Research Assistant · Berkeley, California, United States · 2020 – 2021

    2020
  • Computer Science Mentors logo

    Computer Science Mentors

    Senior Mentor · Berkeley, California, United States · 2019 – 2021

    2019
  • University of California, Berkeley logo

    University of California, Berkeley

    Undergraduate Student Instructor · Berkeley, California, United States · 2020

    2020
  • University of California, Santa Cruz - Jack Baskin School of Engineering logo

    University of California, Santa Cruz - Jack Baskin School of Engineering

    Research Assistant · Santa Cruz, California · 2017 – 2018

    2017
  • University of California, Santa Cruz - Jack Baskin School of Engineering logo

    University of California, Santa Cruz - Jack Baskin School of Engineering

    Research Assistant · Santa Cruz, California · 2015 – 2018

    2015

Bio

Manu graduated early from UC Berkeley (BA '21). Prior to founding Linum, Manu pursued research at the intersection of AI, bioengineering, and healthcare (e.g., applying offline reinforcement learning to learn optimal strategies for anesthesia administration). He is a Bay Area native who loves movies, the Dubs, and ice cream.