Mert Koşan
Staff Machine Learning Scientist at Visa
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolMert Koşan is a Staff Machine Learning Scientist at Visa with a Ph.D. in Computer Science from UC Santa Barbara and nine years of experience specializing in graph machine learning, anomaly detection, and explainability. He builds real-time payments, fraud detection, and generative AI solutions that bridge cutting-edge research with production systems, and has repeatedly turned internship projects at Visa into patentable, deployable innovations. His academic work produced novel methods for robust ante-hoc explainers, global counterfactuals, and topology-centric link prediction, reflecting a knack for principled, reproducible explanations of graph models. Based in Austin, he combines rigorous theoretical grounding (4.0 GPA Ph.D. and 3.99 BS) with practical system design, including human-in-the-loop recommender systems for anomalies. Notably, he focuses on solutions that reduce false positives and accelerate early detection in dynamic graph settings, a valuable but often under-emphasized aspect of ML for security and finance.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.99 / 4.00, Bachelor of Science - BS, Computer Science, 3.99 / 4.00 at Sabanci UniversityHigh School, Science Department, Ranked 1st, High School, Science Department, Ranked 1st at Şehit Osman Altınkuyu Anatolian High School, YalovaDoctor of Philosophy - PhD, Computer Science, 4.00 / 4.00, Doctor of Philosophy - PhD, Computer Science, 4.00 / 4.00 at UC Santa Barbara
Turkish, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
interpretable-machine-learning7
graph-neural-network6
emoji5
python4
machine-learning1
science1
data-science1
Programming languages (1)
Github contributions (5)
zexihuang/raft-blockchain
Nov 2020 - Dec 2020
Contributions:54 commits, 1 push in 1 month
mertkosan/GCFExplainer
Aug 2022 - Oct 2022
Global Counterfactual Explainer for Graph Neural Networks
Contributions:10 commits, 7 pushes, 1 comment in 2 months
graph-neural-networkcounterfactual-explanationsgraph-neural-networksinterpretable-machine-learning
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