Egawati Panjei
Assistant Professor at University of Oklahoma
Norman, Oklahoma, United States
Summary
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Senior🎓
Top SchoolEgawati Panjei is an Assistant Professor and PhD candidate in Computer Science with 11 years of combined research and software engineering experience, specializing in anomaly explanations and knowledge discovery for large-scale, real-time data. She authored a pioneering survey on outlier explanations in the VLDB Journal and developed high-impact systems (EXOS and OCULAR) that dramatically improved explanation accuracy and speed for streaming anomalies. Prior to academia she built production-grade Python tooling and content migration systems that cut manual work by 75% and consistently delivered projects ahead of schedule. Her blend of rigorous research, teaching across database and data mining courses, and hands-on engineering gives her a rare ability to take novel ML methods from prototype to deployable tools. Based in Norman, Oklahoma, she pairs strong publication credentials with practical software craftsmanship and a track record of improving both algorithmic performance and developer productivity.
11 years of coding experience
7 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at Institut Teknologi Sepuluh NovemberDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Oklahoma
English, Indonesian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
graphical-models1
python1
machine-learning1
causality1
dowhy1
inference1
fairness-ml1
causal-inference1
modeling1
causal1
testing1
Github contributions (5)
egawati/micoes
May 2021 - Aug 2021
Contributions:25 commits, 18 pushes in 3 months
egawati/exos
Sep 2022 - Dec 2023
Contributions:16 pushes, 1 branch in 1 year 3 months
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