Iden
Kalemaj
PhD Student
Boston University
Department of Computer Science
PhD Student
Boston University
Department of Computer Science
I am a graduate student working under the supervision of Dr. Sofya Raskhodnikova at the Department of Computer Science, Boston University. I finished my undergraduate studies at Princeton University in 2018 with a major in Mathematics.
Broadly, I am interested in the design and analysis of algorithms. Recently, my focus is on differentially private algorithms for releasing statistics on graph/network data. My previous work studied sublinear-time algorithms for large input objects.
Download my CVPhD Computer Science
September 2019 - Present
BA Mathematics
Class of 2018
2019 - 2020
2019
2014 - 2018
September
2021
Iden Kalemaj, Sofya Raskhodnikova, Nithin Varma
Submitted for publication
June
2021
Hadley Black, Iden Kalemaj, Sofya Raskhodnikova
Submitted for publication
December
2020
Gavin R. Brown, Shlomi Hod, Iden Kalemaj
Neurips Workshop on Consequential Decision Making in Dynamic Environments, December 12, 2020, Contributed talk: video
December
2020
Iden Kalemaj
Survey
October
2020
Wei Gao, Dominic Muston, Matthew Monberg, Kimmie McLaurin, Robert Hettle, Elizabeth Szamreta, Elyse Swallow, Su Zhang, Iden Kalemaj, James Signorovitch, Robert Brett McQueen
PharmacoEconomics
October
2020
Dominic RG Muston, Matthew J Monberg, Kimmie McLaurin, Alfred Sackeyfio, Robert Hettle, James Signorovitch, Elyse Swallow, Wei Gao, Su Zhang, Iden Kalemaj, Kathleen N Moore
Gynecologic Oncology
October
2020
Dominic RG Muston, Matthew J Monberg, Kimmie McLaurin, Alfred Sackeyfio, Robert Hettle, James Signorovitch, Elyse Swallow, Wei Gao, Su Zhang, Iden Kalemaj, Kathleen N Moore
Gynecologic Oncology
Boston University, CS237
Fall 2020
Boston University, CS332
Spring 2020
Poster at Workshop on Local Algorithms (June 2021)
Poster at Workshop on Algorithms for Large Data (August 2021)
Talk at MIT (November 2020)
Talk at Boston University (November 2020)
Talk at Neurips Workshop on Consequential Decision Making in Dynamic Environments (December 2020)
Poster at Women in Data Science Cambridge Conference (March 2021)