Ion Stoica Berkeley computer science professor; co-founder of Databricks (executive chairman), Anyscale and Conviva Founder · Capital · $1–10B cost 4 headwinds 3

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Founder · Capital · Software · Artificial Intelligence · Technology · $1–10B

Ion Stoica

Berkeley computer science professor; co-founder of Databricks (executive chairman), Anyscale and Conviva · Romania → United States

class not establishedhousehold not establishedRomania

Databricks Conviva Anyscale

Cost of failure 4 / 10

soft landingnothing to catch a fall

Headwinds 3 / 10

clear runagainst the current

Two calls made by hand, not formulas. how we score →

Summary

Stoica grew up in Romania, took an engineering degree in Bucharest, and came to the US in 1994 for a PhD.

He has been a Berkeley professor since 2000 and co-founded Conviva, Databricks and Anyscale from his lab's research. Forbes puts him at $7 billion, mostly a private Databricks stake. His family background is not established.

Coded record

industrySoftware · Artificial Intelligence · Technology

talentexceptional

connectionswell-connected

outcome size$1–10B · band 5

path typeFounder · Capital

childhood householdtwo-parent

immigrant generationfirst-gen

educationgraduate degree

credential fundingnone

startup capitalangel

took outside investmentyes

kept ownershipyes

public scrutinynone

ⓘ Hover any row for its definition.

Profiled colleagues

People in this set who share a company with Ion Stoica.

Mentioned in
Matei Zaharia

Subject cooperation: public-only · last reviewed 2026-10-22

Where they worked

Databricks Co-founder and Executive Chairman; original CEO 2013 to 2016 · 2013–now founder still there Conviva Co-founder and CTO · 2006 founder past Anyscale Co-founder · 2019 founder past

How it happened

iRomania to Virginia

Wikipedia says he grew up in Romania, earned a master's in electrical engineering and computer science from the Polytechnic University of Bucharest in 1989, and moved to the US in 1994 to start a PhD at Old Dominion University. It gives his birth year as 1964 or 1965 and treats the exact year as uncertain. It also says he holds Romanian and American citizenship; Forbes lists his citizenship as United States. Nothing opened for this review says what his parents did, what the household had, or how the Old Dominion place was paid for.

iiCarnegie Mellon

He transferred to Carnegie Mellon in 1996 and received a PhD in electrical and computer engineering in 2000 under Hui Zhang, per Wikipedia. His thesis work there included Chord and Internet Indirection Infrastructure, and Wikipedia says the dissertation shared an ACM award with his advisor. Forbes lists the Carnegie Mellon PhD as his education.

iiiBerkeley and Conviva

Wikipedia says he has been a UC Berkeley professor since 2000. In 2006 he and Zhang started Rinera Networks, renamed Conviva in 2008, a video streaming analytics company. Wikipedia describes him as its co-founder and CTO and says it grew out of a CMU research project. The article lists venture rounds from 2012 on; the earliest financing is not established here.

ivDatabricks

Turning point

Databricks was founded in 2013 out of Berkeley's AMPLab, where Spark was built. Wikipedia lists seven founders, including Ali Ghodsi and Stoica, and a $13.9 million Series A led by Andreessen Horowitz in September 2013. Forbes and Wikipedia both say Stoica was the original CEO until early 2016, when Ghodsi took over and he became executive chairman. He was a sitting professor with a lab full of the people who wrote the software, which is what the company was built to sell. What he personally put in at the start is not established.

vAnyscale

His Berkeley page lists him as a co-founder of Anyscale in 2019. Anyscale's own site says Ray was developed from 2016 to 2017 in Berkeley's RISELab and lists a16z, NEA, Addition and Intel Capital as investors. The site also announces that Anyscale is joining Nscale. His current role there was not found. He also directs Berkeley's Sky Computing Lab, per his page, which links a Chatbot Arena project without stating his part in it.

viWhere it landed

On October 21, 2026 Forbes showed $7 billion, rank 574, age 61, residence Berkeley, self-made score 8, and said private investors valued Databricks at $190 billion in August. That is an estimate of a private stake and the size of his holding is not established. Wikipedia carried a $1.6 billion Forbes figure for 2022. Wikipedia also says he gave $25 million to Berkeley's computing and data science efforts in 2021.

viiLegal record

No litigation or regulatory action involving his companies turned up in the Wikipedia articles for him, Conviva or Databricks. That is the absence of reporting in summary sources and it is not a clearance.

Can you replicate their success?

Partly

The first step, a funded PhD place abroad for a strong engineer, is a route that still exists, though how his own was paid for is not documented. The company step needed a faculty seat in a lab producing widely used systems software, a team of co-authors willing to leave or split time, and venture investors who would back open-source infrastructure. Those conditions are narrow and mostly sit inside a few research universities. His family circumstances are not documented, so how much a safety net mattered is unknown.

Required conditions

1 Research ability at the level of a leading systems lab

2 A faculty post or lab seat where the software gets written and adopted

3 Co-founders from the same group

4 Venture investors willing to fund an open-source company

5 A visa route into US graduate study

The coded evidence

Thirteen groups, every claim sourced

Feeds cost of failure

Parent Occupations

Low

not established

Not established in sources opened. The household value in the coded block is a placeholder because the enum has no unknown option.

↗ en.wikipedia.org

Parent Education

Low

not established

Not established.

↗ en.wikipedia.org

Structural context

founder lens · venture capital

The cost-of-failure score comes from this person's own money and circumstances. But who they were in America carried its own weight, the same way their household or income did, and it shaped how hard the path was just as much. That part isn't in the cost-of-failure number. It's here instead.

tailwindman

Men founded the companies that took nearly all the venture funding and almost every top outcome, a tailwind that never shows up in one person's own circumstances.

↗ techcrunch.com

mixedimmigrant background

Immigrants and their children are overrepresented among America's biggest companies, as founders and as senior leaders. They got there through the visa, credential, and network hurdles that make the path harder to even start down.

↗ forbes.com

Among the people recorded here — men: 225. Representation here is who reached these outcomes, not equal odds of reaching them.