Age, Biography and Wiki
Jelani Nelson was born on 28 June, 1984 in Los Angeles, California, is an American computer scientist (born 1984). Discover Jelani Nelson's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 39 years old?
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Age |
39 years old |
Zodiac Sign |
Cancer |
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28 June 1984 |
Birthday |
28 June |
Birthplace |
Los Angeles, California |
Nationality |
United States
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We recommend you to check the complete list of Famous People born on 28 June.
He is a member of famous Computer with the age 39 years old group.
Jelani Nelson Height, Weight & Measurements
At 39 years old, Jelani Nelson height not available right now. We will update Jelani Nelson's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
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Jelani Nelson Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Jelani Nelson worth at the age of 39 years old? Jelani Nelson’s income source is mostly from being a successful Computer. He is from United States. We have estimated Jelani Nelson'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 |
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Not Available |
Source of Income |
Computer |
Jelani Nelson Social Network
Timeline
Jelani Osei Nelson (ጄላኒ ኔልሰን; born June 28, 1984) is an Ethiopian-American Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley.
His doctoral dissertation, Sketching and Streaming High-Dimensional Vectors (2011 ), was supervised by Erik Demaine and Piotr Indyk.
After his doctorate, Nelson worked as a postdoctoral scholar at the Mathematical Sciences Research Institute in Berkeley, California, then Princeton University and the Institute for Advanced Study.
He specialises in sketching and streaming algorithms.
Nelson is interested in big data and the development of efficient algorithms.
Nelson founded AddisCoder, a summer program teaching computer science and algorithms to high schoolers in Ethiopia, in 2011 while finishing his PhD at Massachusetts Institute of Technology,.
The program has trained over 500 alumni, some of whom have gone on to study at Harvard, MIT, Columbia, Stanford, Cornell, Princeton, KAIST, and Seoul National University, and to pursue PhDs in science and mathematics.
Starting in 2022, Nelson also co-organized JamCoders, a summer algorithms and coding camp in Jamaica modeled on AddisCoder.
Nelson co-founded the David Harold Blackwell Summer Research Institute, which aims to increase the number of African-American students receiving PhDs in mathematics.
He joined the computer science faculty at Harvard University in 2013 and remained there until 2019 before joining UC Berkeley.
He is known for his contributions to streaming algorithms and dimensionality reduction, including proving that the Johnson–Lindenstrauss lemma is optimal (with Kasper Green Larsen), developing the Sparse Johnson-Lindenstrauss Transform (with Daniel Kane), and an asymptotically optimal algorithm for the count-distinct problem (with Daniel Kane and David P. Woodruff).
He holds two patents related to applications of streaming algorithms to network traffic monitoring applications.
He won the 2014 Presidential Early Career Award for Scientists and Engineers.
Nelson is the creator of AddisCoder, a computer science summer program for Ethiopian high school students in Addis Ababa.
Nelson was born to an Ethiopian mother and an African-American father in Los Angeles, then grew up in St. Thomas, U.S. Virgin Islands.
He studied mathematics and computer science at the Massachusetts Institute of Technology and remained there to complete his doctoral studies in computer science.
His Master's dissertation, External-Memory Search Trees with Fast Insertions, was supervised by Bradley C. Kuszmaul and Charles E. Leiserson.
He was a member of the theory of computation group, working on efficient algorithms for massive datasets.
Nelson was the recipient of an Office of Naval Research Young Investigator Award in 2015 and a Director of Research Early Career Award in 2016.
He was awarded an Alfred P. Sloan Foundation Fellowship in 2017.
Nelson opposes the proposed California Mathematics Framework, expressing concern that the modified curriculum will harm vulnerable students by denying them rigorous mathematical instruction.
In an interview with The New Yorker, he stated: “I’m extremely worried that the C.M.F. is implicitly advocating for certain groups of people to be pushed away from rigorous math courses into essentially a lower track, setting back progress in improving diversity in STEM.” Nelson was involved in an online conflict with Stanford University professor Jo Boaler over efforts to revise California's framework for math instruction in April 2022.