Ifigeneia Apostolopoulou

Graduate Student Researcher

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
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Top School
Ifigeneia Apostolopoulou is a Machine Learning PhD student and graduate researcher at Carnegie Mellon University with 11 years of research and teaching experience. She focuses on advancing ML methods through long-term academic work in CMU’s Machine Learning Department and has taught the Advanced Introduction to Machine Learning course. Her background spans international research roles including CERTH and early undergraduate projects, grounded in a B.Sc. in Computer Engineering from the University of Thessaly. Based in Pittsburgh, she combines rigorous theoretical training with hands-on experimentation and open-source engagement visible on her GitHub. Colleagues describe her as a persistent problem-solver who brings classroom clarity to complex research problems while mentoring the next generation of ML practitioners.
code11 years of coding experience
bookHigh School Diploma, High School Diploma at 1st General Lyceum of Veria
bookDoctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at Carnegie Mellon University
bookBachelor of Science (B.Sc.), Computer Engineering, Computer Science, Bachelor of Science (B.Sc.), Computer Engineering, Computer Science at University of Thessaly
languagesEnglish, Greek, German
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Github Skills (39)

nlp10
pytorch9
python9
machine-learning9
natural-language-processing9
bert9
tensorflow9
gpu9
deep-learning9
speech-recognition9
transformer9
language-model8
bayesian-methods8
synthetic-dataset-generation8
statistics8

Programming languages (1)

Python

Github contributions (5)

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Contributions:9 pushes, 1 branch in 4 years 9 months
ifiaposto/Deep_Attentive_VI

May 2022 - Jun 2022

Author's implementation of the paper: "Deep Attentive Variational Inference", ICLR 2022.
Contributions:27 commits, 24 pushes, 1 branch in 1 month
pytorchiclrdeep-learninginferencevariational
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Ifigeneia Apostolopoulou - Graduate Student Researcher