基本信息
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职业迁徙
个人简介
I received my Ph.D. in Computer Science from Carnegie Mellon University, with Andrew Moore as my advisor. During my time at the AUTON lab at Carnegie Mellon, I learned the art of speeding up data mining algorithms. After finishing my Ph.D., I was a post-doc with Greg Cooper at the Department of Biomedical Informatics at the University of Pittsburgh. While working with Greg, I learned to appreciate Bayesian networks and Bayesian statistics.
General research interests: machine learning, data mining, anomaly detection
Research topics I've worked on:
Syndromic surveillance, Bayesian network structure learning, clustering, reinforcement learning
Research topics I'm currently working on:
Anomaly detection, time series classification, human-in-the-loop learning, species distribution modeling
研究兴趣
论文共 114 篇作者统计合作学者相似作者
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ITU Journal on Future and Evolving Technologiesno. 1 (2024): 134-146
arxiv(2024)
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CoRR (2023): 1122-1128
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IEEE Access (2023): 86801-86823
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