Kelly Kostopoulou
Research Scientist at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKelly Kostopoulou is a research scientist specializing in distributed systems, privacy, and systems for accelerating large-scale deep learning, with eight years of research experience and a PhD from Columbia. Her work focuses on building functional prototypes that make differential privacy practical for databases and on systems that speed up training of deep neural networks, blending theoretical rigor with engineering pragmatism. She has held research roles at Meta and internships at Microsoft, and has international research experience from KAUST and NCSR "DEMOKRITOS." Known for turning privacy-aware ideas into tangible systems, she combines strong academic performance with hands-on prototype development under advisor Asaf Cidon. Based in New York, she brings a cross-disciplinary perspective informed by advanced degrees in computer science and big data from top institutions.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Big Data and Artificial Intelligence, GPA: 9.7/10, Master's degree, Big Data and Artificial Intelligence, GPA: 9.7/10 at National & Kapodistrian University of AthensDoctor of Philosophy - PhD, Computer Science, 4.22/4, Doctor of Philosophy - PhD, Computer Science, 4.22/4 at Columbia University in the City of New York
English, French, Greek
Github Skills (51)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
chrome10
neural-network10
chromium9
optimization9
ray8
methodology8
reinforcement-learning8
benchmarking8
Programming languages (6)
Github contributions (5)
DelphianCalamity/horovod
Jan 2020 - Jul 2020
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Contributions:1 PR, 187 pushes, 5 branches in 6 months
pytorchmxnetdeep-learningmachine-learningapache
DelphianCalamity/delphiancalamity.github.io
Oct 2022 - Jan 2023
Contributions:47 commits, 201 pushes in 3 months
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