Age, Biography and Wiki

Aviv Regev was born on 11 July, 1970 in United States, is a Bioinformatician. Discover Aviv Regev's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is she in this year and how she spends money? Also learn how she earned most of networth at the age of 53 years old?

Popular As N/A
Occupation N/A
Age 53 years old
Zodiac Sign Cancer
Born 11 July, 1970
Birthday 11 July
Birthplace N/A
Nationality United States

We recommend you to check the complete list of Famous People born on 11 July. She is a member of famous with the age 53 years old group.

Aviv Regev Height, Weight & Measurements

At 53 years old, Aviv Regev height not available right now. We will update Aviv Regev's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
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Dating & Relationship status

She is currently single. She is not dating anyone. We don't have much information about She's past relationship and any previous engaged. According to our Database, She has no children.

Family
Parents Not Available
Husband Not Available
Sibling Not Available
Children Not Available

Aviv Regev Net Worth

Her net worth has been growing significantly in 2023-2024. So, how much is Aviv Regev worth at the age of 53 years old? Aviv Regev’s income source is mostly from being a successful . She is from United States. We have estimated Aviv Regev's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
House Not Available
Cars Not Available
Source of Income

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Timeline

1971

Aviv Regev (born 11 July 1971) is a computational biologist and systems biologist and Executive Vice President and Head of Genentech Research and Early Development in Genentech/Roche.

She is a core member (on leave) at the Broad Institute of MIT and Harvard and professor (on leave) at the Department of Biology of the Massachusetts Institute of Technology.

Regev is a pioneer of single cell genomics and of computational and systems biology of gene regulatory circuits.

She founded and leads the Human Cell Atlas project, together with Sarah Teichmann.

Regev studied at the Adi Lautman Interdisciplinary Program for Outstanding Students of Tel Aviv University, where she completed her PhD under the supervision of Eva Jablonka, and Ehud Shapiro.

2014

In 2014, she pitched the idea of the creation of Human Cell Atlas, a project to describe all cell types in the human body.

Regev founded the Human Cell Atlas together with Sarah Teichmann along with collaborators all over the world.

Regev's lab pioneered the development and application of many of the key experimental and computational advances for single cell and spatial genomics, especially single cell RNA-Seq (scRNA-seq).

2017

Regev is a fellow of the International Society of Computational Biology (ISCB) (2017), a Helmholtz Fellow (2020), and a fellow of the American Association for Cancer Research (AACR) (2021).

2019

She is a member of the US National Academy of Sciences (NAS, elected 2019) and of the US National Academy of Medicine (NAM, elected 2020).

2020

In 2020, Regev became the Head and Executive Vice President of Genentech Research and Early Development, based in South San Francisco, and a member of the extended Corporate Executive Committee of Roche.

Previously, she was a Core Institute Member (now on leave), Chair of the Faculty, Founding Director of the Klarman Cell Observatory and co-Director Cell Circuits Program at the Broad Institute of MIT and Harvard.

She was also a professor in the Department of Biology at the Massachusetts Institute of Technology (now on leave), as well as an Investigator at the Howard Hughes Medical Institute.

Regev's research includes work on gene expression (with Eran Segal and David Botstein), and the use of π-calculus to represent biochemical processes.

Regev's team has been a leading pioneer of single-cell genomics experimental and computational methods.