Lekha Patel
Scientific Machine Learning

Biography
I am a mathematician and computational statistician whose research interests broadly lie in the fields of statistical computing, statistical learning of partially-observed stochastic processes, stochastic PDEs for uncertainty quantification and Bayesian nonparametrics. Other areas of interest include spatial-temporal statistical modeling, extreme value analysis and Bayesian variable selection. Recently, I have developed an interest in physics-informed statistical learning for bridging spatial-temporal scales of physical phenomena. Applications of my work include in bioinformatics, cyber-security, climatology (especially within the atmospheric sciences) and the social sciences.
Education
Ph.D. in Mathematics, Imperial College London, 2019
B.S. in Mathematics, Imperial College London, 2015
Publications
- 2022
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Hopwood, M., Patel, L., Gunda, T., & Gunda, T. (2022). Classification of Photovoltaic Failures with Hidden Markov Modeling, an Unsupervised Statistical Approach. Energies, 15(14). https://doi.org/10.3390/en15145104 Publication ID: 80937
- 2021
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Hopwood, M.W., Patel, L., Gunda, T., & Gunda, T. (2021). Probabilistic detection of high-dimension failures in complex systems: A case study of photovoltaics [Conference Presenation]. https://doi.org/10.2172/1886187 Publication ID: 75469
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Shand, L., Larson, K., Staid, A., Roesler, E., Lyons, D., Simonson, K., Patel, L., Hickey, J., Gray, S., & Gray, S. (2021). Local limits of detection for anthropogenic aerosol-cloud interactions. https://doi.org/10.2172/1855009 Publication ID: 75923
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Patel, L. (2021). A hidden Markov model approach to understanding molecular characteristics in fluorescence microscopy [Presentation]. https://www.osti.gov/biblio/1855711 Publication ID: 77605
- 2020
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Patel, L. (2020). Cloud-aerosol track modeling and analysis [Conference Presenation]. https://doi.org/10.2172/1834678 Publication ID: 72049
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Patel, L., Shand, L., & Shand, L. (2020). Simulating cloud-aerosol interactions made by ship emissions [Conference Proceeding]. https://www.osti.gov/biblio/1824931 Publication ID: 71141
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Patel, L., Shand, L., Tucker, J., Huerta, J., & Huerta, J. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Proceeding]. https://www.osti.gov/biblio/1825584 Publication ID: 71177
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Shand, L., Patel, L., & Patel, L. (2020). Simulating cloud-aerosol interactions made by ship emissions [Conference Poster]. https://www.osti.gov/biblio/1811613 Publication ID: 74253
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Patel, L., Huerta, J., Shand, L., Miller, W., Tucker, J., & Tucker, J. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Poster]. https://www.osti.gov/biblio/1811818 Publication ID: 74294
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Patel, L., Huerta, J., Shand, L., Miller, W., Tucker, J., & Tucker, J. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Poster]. https://www.osti.gov/biblio/1783652 Publication ID: 73529