Aysegul Bumin in

Aysegul Bumin

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Student Researcher at Google
📍 San Francisco Bay Area, United States

Aysegul Bumin is an Applied Scientist at Amazons Search team, holding a Ph. D. in Machine Learning from the University of Florida. Her expertise lies in stochastic optimization, tensor completion, and developing novel algorithms. She has authored multiple papers and interned at Google on the Security, Privacy, and Anti-Abuse Research team.

She is passionate about mentoring students and has guided university teams in AWS-sponsored programs. In her provided social media feed, she shows an interest in emerging technologies like virtual reality. Aysegul actively contributes to the research community, serving as a speaker and reviewer for top-tier conferences.

She won the best student paper award at the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics.

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Experience
6 Years
Current Role
Student Researcher
Location
San Francisco Bay Area, United States
Personality Overview

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Decision Approach
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Priorities

Topics Aysegul cares about

Machine Learning Optimization
Her Ph. D. research focused on advancing stochastic optimization algorithms and their convergence rates, resulting in multiple publications on the topic.
Drug Repurposing
She co-authored an award-winning paper on an efficient tensor completion algorithm designed to find new uses for existing drugs, a key bioinformatics problem.
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Career

Work history

2-2023 - 4-2023
Student Researcher
Google
9-2022 - 12-2022
Research Intern
Google
5-2022 - 8-2022
Applied Scientist
Amazon
6-2018 - 5-2021
Graduate Teaching Assistant
University of Florida
8-2017 - 8-2023
PHD
University of Florida
In the press

Media appearances

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Education
8-2017 - 12-2020
Master of Science - MS
University of Florida
2012 - 2017
Bachelor's degree
Orta Doğu Teknik Üniversitesi / Middle East Technical University
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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