Rebecca Wegznek

Rebecca Wegznek has held various positions in the fields of Machine Learning, Data Science, and Artificial Intelligence since 2019. At IOMAXIS, they have been a Machine Learning Engineer, Junior Data Scientist, and Artificial Intelligence Intern. In their role as Machine Learning Engineer, they have used a variety of ML techniques for NLP, Cyber Security, and Network Applications such as Anomaly Detection, Named Entity Recognition, Recommendation, Search, and Summarization. These techniques include Deep Learning, Meta-Learning, Reinforcement Learning, Supervised Learning, and un-Supervised Learning. Additionally, they have served as a Statistics Instructional Assistant at the UCSD Cognitive Science Department since 2019.

Rebecca Wegznek attended UC San Diego from 2016 to 2020, where they earned a degree in Cognitive Science with a focus on Machine Learning and Neural Computation.