I am a senior statistician at Sandia National Laboratories. My research interests broadly lie in the fields of computational statistics, simulation-based statistical learning (particle methods, Monte Carlo approaches, Approximate Bayesian Computation) of stochastic processes and Bayesian nonparametrics. Other areas of interest include temporal-spatial statistics, extreme value analysis and Bayesian variable selection. Recently, I have developed an interest in physics-informed statistical learning. Applications of my work include in bioinformatics and biological imaging, cyber-security, climatology and the social sciences.

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Interests

- Computational statistics
- Simulation based statistical learning
- Bayesian nonparametrics
- Stochastic processes
- Temporal-spatial statistics

Education

PhD in Statistics, 2019

Imperial College London

MSci in Mathematics, 2015

Imperial College London

Statistical and Machine Learning (ML) consultant

Devising statistical and ML algorithms for DNA sequencing, early disease detection and health monitoring.

Statistician

Devising novel statistical methodologies and inference mechansisms for applications in national security.

Machine Learning (ML) consultant

Implemented automatic skills labeling scheme with sparse and inbalanced data.

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Development and characterization of a tabletop fog chamber at Sandia National Laboratories.
*Proc SPIE*.

(2022).
(2022).
Parameter Estimation of Binned Hawkes Processes.
*Journal of Computational and Graphical Statistics*.

(2022).
(2021).
Blinking statistics and molecular counting in direct stochastic reconstruction microscopy (dSTORM).
*Bioinformatics*.

(2021).
(2020).
Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database.
*Proc. JSM*.

(2020).
A hidden Markov model approach to characterizing the photo-switching behavior of fluorophores.
*Annals of Applied Statistics*.

(2019).
Bayesian filtering for spatial estimation of photo-switching fluorophores imaged in Super-resolution fluorescence microscopy.
In *2018 52nd Asilomar Conference on Signals, Systems, and Computers*.

(2018).
- lpatel@sandia.gov
- Albuquerque, NM