Iden
Kalemaj
PhD Student
Boston University
Department of Computer Science
PhD Student
Boston University
Department of Computer Science
I am a fifth year PhD student working under the supervision of 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. In Fall 2022 and Fall 2023, I was an Applied Scientist intern at Amazon, hosted by Shiva Kasiviswanathan and Srinivasan Sengamedu.
My research interests lie in the design of algorithms and theoretical foundations for Responsible AI. In particular, I have studied privacy-preserving algorithms for streaming and graphical data. Currently, I am on the job market for research positions related to privacy-preserving and fair ML.
Download my CVPhD Computer Science
2019 - 2024 (expected)
BA Mathematics
2014 - 2018
2023
2019 - 2020
2019
2014 - 2018
2023
Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith
Neural Information Processing Systems (NeurIPS), 2023
2023
Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
2023
Iden Kalemaj, Sofya Raskhodnikova, Adam Smith, Charalampos Tsourakakis
Principles of Database Systems (PODS), 2023
Foundations of Responsible Computing (FORC), non-archival, 2023
2023
Hadley Black, Iden Kalemaj, Sofya Raskhodnikova
International Colloquium on Automata, Languages and Programming (ICALP), 2023
2022
Gavin R. Brown, Shlomi Hod, Iden Kalemaj
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
NeurIPS Workshop on Consequential Decision Making in Dynamic Environments, 2020, with contributed talk
2022
Iden Kalemaj, Sofya Raskhodnikova, Nithin Varma
Innovations in Theoretical Computer Science (ITCS), 2022
Boston University, CS537
Fall 2022
Boston University, CS237
Fall 2020
Boston University, CS332
Spring 2020
Talks at Foundations of Responsible Computing (June 2023), Principles of Database Systems (June 2023)
Posters at Workshop on Algorithms for Large Data (August 2021) and Workshop on Local Algorithms (June 2021)
Talk at Boston University (November 2021)
Talks at Boston University (November 2020), MIT (November 2020), Purdue (October 2022), University of Sydney (October 2022), A&T Waterloo (November 2022), Stanford (February 2022)
Talk at Neurips Workshop on Consequential Decision Making in Dynamic Environments (December 2020)
Poster at Women in Data Science Cambridge Conference (March 2021)
Talk at Yahoo Research (December 2021)