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Jelani Osei Nelson ( Amharic: ጄላኒ ኔልሰን; born June 28, 1984) is an Ethiopian-American Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He won the 2014 Presidential Early Career Award for Scientists and Engineers. Nelson is the creator of AddisCoder, a computer science summer ...
- June 28, 1984 (age 39), Los Angeles, California
Contact. Jelani Nelson. Professor, Department of EECS. UC Berkeley. About me:I am an EECSfaculty member at UC Berkeley, where I am a member of the Theory Group. Current students: Ishaq Aden-Ali(co-advised with Peter Bartlett) Xin Lyu(co-advised with Avishay Tal) Mihir Singhal (co-advised with Venkatesan Guruswami)
- Professor, Department of EECS
- UC Berkeley
Jelani Nelson. Jelani Nelson came to Berkeley in 2019 from Harvard University. He is a professor in the Department of Electrical Engineering and Computer Sciences. He was an Alfred P. Sloan Research Fellow and received a 2017 Presidential Early Career Award for Scientists and Engineers. “I find it fulfilling to work on algorithmic problems ...
KG Larsen, J Nelson. 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …. , 2017. 159. 2017. Optimal approximate matrix product in terms of stable rank. MB Cohen, J Nelson, DP Woodruff. arXiv preprint arXiv:1507.02268. , 2015.
Jelani Nelson Curriculum Vitae Department of EECS Soda Hall 633 minilek@berkeley.edu Berkeley, CA 94720-1776 https://people.eecs.berkeley.edu/~minilek/ Current Position UC Berkeley Berkeley, CA • Professor, Department of Electrical Engineering and Computer Science, July 2019–present Previous Positions Harvard University Cambridge, MA
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CRA-E Undergraduate Research Faculty Mentoring Award , 2022. Sloan Research Fellow , 2017. NSF Presidential Early Career Award for Scientists & Engineers (PECASE) , 2017. Office of Naval Research Young Investigator , 2015. NSF Faculty Early Career Development Award (CAREER) , 2014. ACG SIGMOD/PODS Best Paper Award , 2010.
Jelani Nelson is an EECS faculty member at UC Berkeley, where he is a member of the Theory Group. Jelani Nelson's research primarily focuses on algorithms for large datasets, in particular those that use very little memory (e.g. sketching and streaming algorithms), as well as dimensionality-reduction techniques for processing high-dimensional ...
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