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职业迁徙
个人简介
My research interests broadly revolves around the fields of Generative Modeling, Epidemic Forecasting, AI for public health, Reinforcement Learning and Deep Learning. My current research interests are:
Generative modeling for multi-source and time-series forecasting with focus on uncertainty quantification and calibration.
Spatio-temporal modeling with deep learning methods that are robust to noisy data
Epidemic modeling and forecasting
Reinforcement Learning in real-world including Network problems like graph exploration, influence maximization.
Generative modeling for multi-source and time-series forecasting with focus on uncertainty quantification and calibration.
Spatio-temporal modeling with deep learning methods that are robust to noisy data
Epidemic modeling and forecasting
Reinforcement Learning in real-world including Network problems like graph exploration, influence maximization.
研究兴趣
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arXiv (Cornell University) (2023)
PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023pp.5809-5810, (2023)
Sarabeth M Mathis, Alexander E Webber,Tomás M León,Erin L Murray, Monica Sun,Lauren A White,Logan C Brooks,Alden Green,Addison J Hu,Daniel J McDonald,Roni Rosenfeld,Dmitry Shemetov,
medRxiv : the preprint server for health sciences (2023)
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