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Evan Lyall

Evan Lyall

CTO, Co-founder Rosebud Biosciences (YC W22)

2021Co-founder· Rosebud Biosciences
Founder · since 2021
Company
Rosebud Biosciences
Role
Co-founder and CTO
current
Stage
—
no public source
Raised
—
no public source
Based
San Francisco Bay Area
current
Founder / co-founder — the company's markEmployee / research role
Source: LinkedIn work history
Profile coverage5 of 7 · missing posts, contact
Rosebud Biosciences logo
Rosebud Biosciences

Growing micro-organs to find new drugs

Winter 2022

Experience

Career

  • Rosebud Biosciences logo

    Rosebud Biosciences

    Co-founder

    Co-founder and CTO · San Francisco Bay Area · 2021 – Present

    2021
  • CODA Biotherapeutics

    Data Engineering Contractor · South San Francisco, California, United States · 2020 – 2021

    2020
  • Weights & Biases logo

    Weights & Biases

    ML Engineering Contractor · San Francisco Bay Area · 2020

    2020
  • Insight Data Science logo

    Insight Data Science

    Data Engineering Fellow · San Francisco Bay Area · 2020

    2020
  • University of California, Berkeley logo

    University of California, Berkeley

    Interim Postdoctoral Researcher · Hillel Adesnik's Lab · 2019

    2019
  • University of California, Berkeley logo

    University of California, Berkeley

    Doctoral Researcher · Hillel Adesnik's Lab · 2012 – 2018

    2012
  • University of California, Berkeley logo

    University of California, Berkeley

    Undergraduate Researcher · Lydia Sohn's Lab · 2011 – 2012

    2011
  • University of California, Berkeley logo

    University of California, Berkeley

    Undergraduate Researcher · Austin Roorda's Lab · 2010 – 2011

    2010
  • The Berkeley Group

    Strategy Consultant · 2008 – 2010

    2008
  • Hubbell Gas Connectors & Accessories logo

    Hubbell Gas Connectors & Accessories

    Engineering Intern · 2009

    2009

Bio

Evan is co-founder and CTO of Rosebud Biosciences. Evan is a Scientist-Engineer (PhD) with 10 years’ experience in advanced microscopy, machine learning, and data engineering. At UC Berkeley he studied the neural coding of perception and was part of a team that built the first bidirectional brain machine interface with proven single cell resolution. Before joining Rosebud he contracted for startups as a data and ML engineer.