Lulu Kang
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Associate Professor
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About
Dr. Lulu Kang is an Associate Professor at the University of Massachusetts Amherst, USA. Her research primarily focuses on statistical methodologies, Bayesian design of experiments, and machine learning applications in scientific discovery. Recent articles include investigations into SARS-CoV-2 protease inhibitors, continuous probability distributions, and resource allocation methods.
Recent Grants
Grant: Close
Energetic Variational Inference: Foundations, Algorithms, and Applications
Open Date: 2022-07-01
Close Date: 2025-06-30
Grant: Close
Statistical Design, Sampling, and Analysis for Large Scale Experiments
Open Date: 2019-09-01
Close Date: 2022-08-31
Grant: Close
Collaborative Research: CDS&E: Elucidating Binding using Bayesian Inference to Integrate Multiple Data Sources
Open Date: 2019-09-01
Close Date: 2022-08-31
Grant: Close
Collaborative Research: Experimental Design and Analysis of Quantitative-Qualitative Responses in Manufacturing and Biomedical Systems
Open Date: 2014-09-01
Close Date: 2017-08-31
Articles (13)
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2022
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2022
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2021
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2021
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2021
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2021
Collaborators (11)
Briana Lynn McGovern
Icahn School of Medicine at Mount Sinai
Hadis Anahideh
Assistant Professor
University of Chicago
Soohaeng Willow
Research Professor
Sungkyunkwan University - Natural Sciences Campus
Bruce Milne
Honorary Lecturer
University of Aberdeen
Nicole Zitzmann
University of Oxford
Annette von Delft
University of Oxford
Qiong Zhang
Clemson University
Michelle Hill
University of Oxford
Nathan Wright
University of Oxford
David Minh
Illinois Institute of Technology
Shyam Ranganathan
Assistant Professor
Clemson University
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