Patrick Trainor, PhD, MS, MA

Patrick is an Assistant Professor in Chemistry and Biochemistry at NMSU. Patrick’s expertise are in the analysis of high-throughput molecular biology data. He is also an expert in the bioinformatic processing of high-resolution mass spectrometry data (for metabolomics, lipidomics, and proteomics). Patrick is passionate about utilizing bioinformatics and biostatistical technqiues to leverage genomics, transcriptomics, proteomics, and metabolomics data for characterizing the metaboloic underpinnings of human diseases. He is also an Adjunct Assistant Professor of Medicine at the University of Louisville.

Patrick earned graduate degrees in Bioinformatics, Biostatistics, and Mathematics from the University of Louisville. Additionally he completed graduate-level training in biochemistry, analytical chemistry, cell biology, population genetics, functional genomics, and molecular biology. He was also awarded NIH-funded fellowships to study statistical genetics and metabolomics at the University of Alabama at Birmingham.

Patrick serves on the Institutional Review Board of NMSU, which has the important mission of ensuring the safety and well being of participants in research conducted by NMSU researchers and affiliates. He is the current chair of the Board of Directors at Casa de Peregrinos Food Pantry–an organization that serves Southern New Mexico.

In his spare time, Patrick enjoys mountain biking, powerlifting, hiking, volunteering at Casa de Peregrinos, and playing the flute. He is a veteran of the United States Marine Corps where he served as an infantryman.

Hossein Mousavi, MS

Full name: Seyed Mohammad Hossein Mousavi. Hossein is a a second year masters student in Applied Statistics at New Mexico State University. He is interested in Machine Learning, data science and big data analytics, especially in Biostatistics. He is an expert data analyst and engineer with an ability to take on new projects with enthusiasm and integrity. In addition to his expertise in statistical analysis, statistical programming, predictive modelling, and Bayesian statistics; Hossein’s experience as an engineer has given him expertise in project scheduling, continuous improvement, minimizing costs, logical relationships, and project development. Hossein has achieved a Bachelors degree in Industrial Engineering and a masters degree in Industrial Management from Shiraz University, Iran. He is currently serving as officer of NMSU’s chapter of the American Statistical Association, and has led workshops in R Programming and SPSS at NMSU. His hobbies include Hiking and Swimming.

Hossein’s research is in using multivariate statistical techniques and Bayesian modeling to understand cardiovascular disease events using complex high-throughput molecular biology data (e.g. metabolomics and proteomics). Hossein’s research has been supported by an NM-INBRE project grant (sub-award from NIH grant 5P20GM103451). He also contributes to the bioinformatic analysis of data generated using mass spectrometry.

Louisa Mahama

Louisa Samira Mahama is a second-year master’s student in Industrial Engineering at New Mexico State University. Her research interests are Machine Learning, Data Science and Finance.  

She is currently working on developing new Bayesian statistical approaches for predicting atherosclerotic cardiovascular disease events such as heart attacks, death from atherosclerotic disease, and strokes. In addition to improving the overall accuracy for predicting such events, Louisa’s work aims to improve the accuracy of such models in predicting risk for non-white populations in the United States. This work is being conducted within the Multi-Ethnic Study of Atherosclerosis, a longitudinal cohort study sponsored by the National Institutes of Health. 

Louisa received her bachelor’s degree in Mathematics from the Kwame Nkrumah University of Science and Technology in Ghana. In her free time, she loves to read, listen to music, and sing.